7/31/2019 Mining Health Care Data To Predict Hospitalization

1/10

Zoak ? hi?:

Fhuzmtonmwotmh` zrkdmetmh` irhl fkontf eork enomlu

Odmtf}o Rk`d{efm tono Bk`golm` Lortm` No`ek NkaknLU Ehlz{tkr Uemk`ek Uhitork K`am`kkr LU Tknkehll{`meotmh`u

[`mykrumt} hi Ehnhrodh Bh{ndkr Ro}tfkh` Ehlzo`} [`mykrumt} hi Ehnhrodh Bh{ndkrodmtf}orJalomnehl b`gl`lrt`Jalomnehl no`eknkaknJalomnehl

UMD7 6?:=;4:=:? UMD7 ?:?29222: UMD7 ?::166=54

44 lmnnmh` zrkyk`tobnk fhuzmtonmwotmh`u hee{r

koef }kor m` tfk [U. ehutm`a fkontf eork

zrhymdkru hykr $2= bmnnmh` S?\ M` rkuzh`uk.

Fkrmtoak Zrhymdkr @ktqhrc fou hrao`mwkd o

ehlzktmtmh` th dkyknhz doto lm`m`a onahrmtflutfot zrkdmet i{t{rk fhuzmtonmwotmh`u S2\ Ou

zortmemzo`tu m` tfmu ehlzktmtmh`. qk foyk

ozznmkd loefm`k nkor`m`a onahrmtflu th im`d

ehrrknotmh`u bktqkk` 29 lmnnmh` fkontf eork

enomlu o`d fhuzmtonmwotmh` h{tehlku ihr obh{t

1: tfh{uo`d zkhznk Qk bkao` mlznklk`tm`a

bm`or} enouumimkru th dktkrlm`k qfktfkr hr `ht

zkhznk qmnn ah th tfk fhuzmton. {um`a u{zzhrt

ykethr loefm`ku &UYL- o`d ortmimemon `k{ron

`ktqhrcu &O@@- Qk {ukd Hro`ak S5\. Z}Brom`

S4\. o`d UYLnmaft S;\ nmbrormku m` Z}tfh` Qkioekd fmaf ehlz{totmh`on ehutu hi trom`m`a. o`d

zhhr zkrihrlo`ek hi uto`dord onahrmtflu h`

{`bono`ekd doto uktu qmtf rork zhumtmyk k`trmku

Qk zortmonn} hykreolk tfk imrut zrhbnkl

tfrh{af enh{d ehlz{tm`a rkuh{reku S9\3 o`d tfk

ukeh`d zrhbnkl tfrh{af k`uklbnku hi UYLu.

boukd h` o` hrmam`on utomreouk lhdkn qmtf

lkto nkor`m`a S1.6\ H{r lhdkn qou

u{blmttkd th tfk ehlzktmtmh` o`d kor`kd o

RLUNK oee{roe} hi :;:2. bkotm`a zrkdmetmh`u hi

onn,wkrhu o`d o ikq f{`drkd ehlzktmthru Tfk

uckq hi h{r doto o`d ehlznkvmt} hi zrhekuum`a

mt qkrk ek`tron rkouh`u qf} h{r onahrmtflu

onh`k eh{nd `ht eh`ykrak h`th dkkzn} oee{rotk

lhdknu ihr zrkdmetmh`

Qf} ihe{u h` fhuzmtonmwotmh`8

Rkukorefkru ork oetmykn} z{ru{m`a m``hyotmyk o}u

th lm`mlmwk tfk `kkd ihr zkhznk th bk fhuzmtonmwkd.

bkeo{uk mtu mlzoet h` zkhznk mu foruf o`d ehutn}

Tfk Oak`e} ihr Fkontfeork Rkukoref o`d _{onmt}

kutmlotku tfot m` tfk [`mtkd Utotku onh`k tfkrk ork

obh{t 44 lmnnmh` fhuzmtonmwotmh`u koef }kor tfot

eh{nd bk zrkyk`tkd tfrh{af nkuu m`tr{umyk o`d nkuu

kvzk`umyk m`tkryk`tmh` S?\ M` thton. fkontf eork

zrhymdkru m` tfk [U nhuk o` oykroak hi $2= bmnnmh`

ehnnketmykn} th u{ef fhuzmtonmwotmh`u Bk}h`d tfkuk

im`o`emon ehutu hi `ht m`tkryk`m`a. zkhznku nmyku ork

dkyoutotkd b} ht oetmykn} zrkyk`tm`a mnn`kuuku

Qfot eo` doto lm`m`a dh obh{t tfmu8

Doto lm`m`a hi fmuthrmeon fkontf eork o`d

fhuzmtonmwotmh` h{tehlku eo` rodmeonn} efo`ak tfk

o} fkontf eork mu odlm`mutkrkd m` tfk [U o`d

orh{`d tfk hrnd B} mdk`tmi}m`a ehrrknotmh`u

bktkk` rkon fkontf eork enomlu zf}umemo` ymumtu.

dmoa`huku. dr{a eh{`tu. o`d uh h` o`d rkon

fhuzmtonmwotmh`u. doto lm`m`a onahrmtflu eo` fknz

fkontf eork zrhymdkru mdk`tmi} tfhuk lhut ot rmuc hi

i{t{rk fhuzmtonmwotmh` Tfk`. tfkuk zrhymdkru eo`m`tkryk`k th lock u{rk tfkmr lklbkru eo` akt tfk

trkotlk`t tfk} kkd

7/31/2019 Mining Health Care Data To Predict Hospitalization

2/10

Zoak 2 hi?:

Ima{rk ? Uolznk irhl h{r zrmlor} doto tobnk hrao`mwkd ihr zortmemzotmh` m` tfk Fkrmtoak Fkontf Zrmwk Ottrmb{tku

ork kvznom`kd m` tfk uketmh` Qfot mu h{r doto8

Doto hi Fkrmtoak Fkontf Zrmwk

Th eozmtonmwk h` tfk hzzhrt{`mtmku mdk`tmimkd obhyk.

Fkrmtoak Zrhymdkr @kthrc &FZ@- mu i{`dm`a tfk

Fkrmtoak Fkontf Zrmwk S2\. o doto lm`m`a

ehlzktmtmh` hrtf lhrk tfo` $5 lmnnmh` dhnnoru th

mtu m``kr FZ@ zrhymdku zortmemzo`tu doto h` hykr

?::.::: zotmk`tu ihr 5 }koru mtf hykr 2 lmnnmh`fkontf eork enomlu m` thton Eh`tkuto`tu ork

zrhymdkd m`ihrlotmh` h` fh lo`} do}u. mi o`}.

tfkuk zotmk`tu uzk`t m` tfk fhuzmton hykr tfk tfrkk

}koru Irhl tfmu doto o`d htfkr doto zrhymdkd.

zortmemzo`tu l{ut zrkdmet fh lo`} do}u m` tfk

fhuzmton o u{bukt hi tfkuk zotmk`tu mnn uzk`d m` o

4tf }kor ihnnhm`a tfk 5 }koru hi doto

Qk zortmemzotkd m` tfk Fkrmtoak Fkontf Zrmwk th

i{rtfkr h{r ozznmkd {`dkruto`dm`a hi odyo`ekd

doto lm`m`a tkef`mq{ku Qk krk kyon{otkdoeehrdm`a th tfk ihnnhm`a mtkrotmyk kq{otmh`.

fkrk m mu e{rrk`t lklbkr. ` mu `{lbkr hi lklbkru.

z mu zrkdmetkd do}u m` fhuzmton. o`d o mu oet{on do}u

m` fhuzmton7

Tfk ahon mu th lm`mlmwk . qmtf lm`ml{l hi :4Bkihrk dmue{uum`a tfk tkef`mq{ku k foyk ozznmkd.

k mnn kvznom` fot doto k ork oet{onn} lm`m`a

Qfot mu h{r doto8

M` Ima{rk ?. obhyk. k ukk o uolznm`a hi 4 m`uto`eku

irhl 2.996.==? thton m`uto`eku hi }kor h`k doto

Ukykron hi tfk ?4 ottrmb{tku ork ykr} rmef

dmlk`umh`onn}7

? LklbkrMD , MD ihrzotmk`t

2 ZrhymdkrMD , MD ihr dhethr zrhymdm`a ukrymek

5 Yk`dhr , MD ihr ehlzo`} muu{m`a bmnn

4 ZEZ , MD ihr lklbkru zrmlor} eork zf}umemo`

;

]kor ,}kor hi enoml. kmtfkr ?. 2. hr 59 Uzkemont} , kvzkrtmuk hi dhethr ukrymem`a

1 ZnoekUye , t}zk hi nheotmh` ukrymekd

6 Zo}Dkno} , do}u bktkk` enoml o`d zo}lk`t

= Nk`atfHiUto} , do}u uzk`t bkm`a ukrymekd

?:DUIU , do}u um`ek imrut ukrymek hi }kor

??Zrmlor}Eh`dmtmh`Arh{z , ehdk ihr dmoa`humu

?2Efornuh`M`dkv , ehlhrbmdmt} uehrk

?5Zrhekd{rkArh{z , ehdk ihr trkotlk`t

?4U{zNHU , bm`or} m`dmeotmh` hi doto u{zzrkuumh`

M` Ima{rk ?. eh`umdkr tfk ro`ak hi yon{ku ihrUzkemont}. fmef mu tfk uzkemont} hi dhethru tfot

zotmk`tu ymumt , m`tkr`on. o`kutfkumhnha}. dmoa`hutme

mloam`a. o`d klkrak`e} ]kt. tfk rmef`kuu hi tfmu

ro`ak mu dorikd b} tfk zhuumbnk yon{ku eh`tom`kd

m` Zrmlor}Eh`dmtmh`Arh{z o`d Zrhekd{rkArh{z

M` tfmu uolznm`a. Zrmlor}Eh`dmtmh`Arh{z ro`aku

irhl o eordmoe eh`dmtmh` &LMUEFRT- th o uzm`k

dmuhrdkr &ORTFUZM@- th efkut zom` &RHOLM- th

o dmukouk hi z{nlh`or} emre{notmh` &FKORT2-3

umlmnorn}. tfk Zrhekd{rkArh{z ro`aku irhl u{rakr}

hi tfk eordmhyoue{nor u}utkl &UEU- th o`kutfkumo&O@KU- th rodmhnha} &ROD- th u{rakr} hi tfk

dmakutmyk u}utkl &UDU- Utrh`a ehrrknotmh u krk

kvzketkd th klkrak rknotm`a tfkuk ottrmb{tku th

do}u fhuzmtonmwkd m` u{bukq{k`t }koru

M` oddmtmh` th tfk 29 lmnnmh` m`uto`eku hi tfk

ottrmb{tku h{tnm`kd m` Ima{rk ?. h{r doto ukt onuh

7/31/2019 Mining Health Care Data To Predict Hospitalization

3/10

Zoak 5 hi?:

eh`tom`u tfk ukv o`d oak arh{z ihr onn m`dmymd{onu3

`{lbkr hi dr{au zrkuermbkd zkr kyk`t3 o`d `{lbkr

hi nobhrothr} o`d zotfhnha} tkutu zkr kyk`t

Ima{rk 2 ufhu fh tfk fhuzmtonmwotmh` doto mu

uckkd Qk mnn {ntmlotkn} dmue{uu fh tfmu uck

erkotkd drolotme efonnk`aku th hykrehlk. bkeo{uk

lhut nkor`m`a onahrmtflu ork `ht hrmam`onn}dkuma`kd th dktket fot ork kuuk`tmonn} h{tnmkru

Ima{rk 2 Eh{`t hi do}u fhuzmtonmwkd oitkr h`k }kor Tfk

norakut eh{`t ihr tfk loghrmt} enouu. wkrh do}u. mu thh

norak &94.29=- th bk ufh` h` tfmu arozf Tfk b{lz ot

tfk rmaft hi tfk arozf mu bkeo{uk tfk im`on bm` eozt{rku

onn fhuzmtonmwotmh`u tfot ork ?; hr lhrk do}u

Zrkzrhekuum`a7 doto m`tkarotmh`

[zh` akttm`a th c`h h{r doto. k rkonmwkd tfot mt

ou ihrlottkd m` o o} tfot ou `ht eh`d{emyk th

tfk zrkdmetmh` zrhbnkl Qk krk zrhymdkd o

ro`dhlmwkd ukt hi 29 lmnnmh` m`uto`eku. mtf

lklbkru oykroam`a obh{t th dhwk` m`uto`eku

oerhuu 5 }koru Qk `kkdkd h{r nkor`m`a onahrmtflu

th tock eh`umdkrotmh` hi onn m`uto`eku ihr koef

lklbkr ou o um`ank hbgket ihr enouumimeotmh` Tfmu

lko`t m`tkarotm`a l{ntmznk m`uto`eku m`th um`ank

k`trmku ihr koef }kor hi zrkdmetmh`

Th m`tkarotk tfk doto. k rhtk o Z}tfh` uermzt th

ueo` tfrh{af tfk ehlznktk ukt hi enomlu. o`d b{mnd

o dmetmh`or} ihr kykr} lklbkr. fmef m`dmeotku onn

hi tfk enomlu tfot krk rkehrdkd m` tfk }kor zrmhr

th zrkdmetmh` Ima{rk 5 ufhu tfk t}zk hi doto th bk

m`tkarotkd. o`d kvznom`u i{rtfkr fh k

rkihrlottkd mt

Ima{rk 5 Inottk`m`a o`d `hrlonmwm`a hi doto h` h`k

lklbkr. ===114=?. m` }kor 5 Ihr o`} ottrmb{tk hi

eotkahrmeon doto t}zk &ka Zrmlor}Eh`dmtmh`Arh{z-.

eotkahrmku ork kvzo`dkd m`th l{ntmznk `k ottrmb{tku

&RHOLM. LMUEFRT. ORTFUZM@. UC@O[T. - Koef `kum`ank eotkahr} ottrmb{tk rkekmyku o `hrlonmwkd yon{k

boukd {zh` fh lo`} m`uto`eku mtf tfmu eotkahr} ork

rkehrdkd ihr tfmu lklbkr. o`d fot tfk lovml{l eh{`t

hi m`uto`eku rkehrdkd hi tfmu eotkahr} mu ihr o`}lklbkr

M` tfmu kvolznk. lklbkr ===114=? fou th m`uto`eku

mtf tfk eotkahr} RHOLM Uh. mi tfk inottk`kd imnk fou o

yon{k hi :?42= ihr tfk `k ottrmb{tk RHOLMXZEZ,]5.

tfk` o`} lklbkr mtf o um`ank m`uto`ek rkehrdkd hi

RHOLM h{nd foyk o yon{k hi ::1?42. o`d tfk

lovml{l m`uto`eku rkehrdkd m` o um`ank lklbkr hi

RHOLM l{ut bk ?(::1?42 < ?4. oeehrdm`a th uto`dord

`hrlonmwotmh` zrhekd{rk Bkeo{uk uhlk ottrmb{tku ork`ht eotkahrmeon &ka ZrhymdkrMD-. tfk} ork kven{dkd

d{rm`a tfmu zrhekd{rk. kyk` tfh{af tfk} eh`tom`

m`tkrkutm`a m`ihrlotmh` Nkor`m`a mtf tfkuk ottrmb{tku

eo` bk m`ehrzhrotkd ukzorotkn} ou ikot{rku

M` oddmtmh` th h{r inottk`m`a o`d `hrlonmwm`a

h{tnm`kd m` Ima{rk 5 obhyk. k onuh efhuk th imntkr

h{t m`uto`eku fkrk lklbkru ork `ht zrkuk`t m` ot

nkout h`k hi tfk }koru. m` hrdkr th kutobnmuf o

lm`m`a utr{et{rk tfot eh`umdkru tmlk Tfmu

{ntmlotkn} eh`ykrtkd o imnk mtf 29 lmnnmh`m`uto`eku o`d ?4 ottrmb{tku m`th o imnk mtf 42.=::

m`uto`eku &h`k zkr lklbkr- o`d ;41 ottrmb{tku

Tfkrk ork uhlk uma`mimeo`t droboecu th tfmu

m`tkarotmh` zrhekuu Qk nhuk aro`{normt} m` h{r

tklzhron rmef`kuu. o`d lhrk ak`kronn}. h{r obmnmt}

th lm`k irkq{k`t m`tkrrknotmh`ufmzu hi ottrmb{tk

doto oerhuu um`ank m`uto`eku

7/31/2019 Mining Health Care Data To Predict Hospitalization

4/10

Zoak 4 hi?:

B} ehlbm`m`a m`uto`eku tfot hee{rrkd ot yormh{u

tmlku m`th o um`ank tmlk,m`yormo`t ykethr. k nhuk

tfk obmnmt} th lm`k irkq{k`t ukq{k`eku hi ottrmb{tk

doto Tfkrk ou `h hbymh{u o} th zrkukryk tfk

tmlkutolz ihr koef ukt hi m`uto`ek doto do}u

um`ek imrut ukrymek hi }kor mtfm` o fmaf,

dmlk`umh`on oaarkaotmh` hi lo`} m`uto eku Ihr

kvolznk. m` Ima{rk 5. k ukk tfot tfkZrmlor}Eh`dmtmh`Arh{zeotkahrmku hi UC@O[T o`d

ORTFUZM@ hee{r orh{`d tfk uolk tmlk &DUIU7 :,?

lh`tfu-. o`d bkihrk RHOLM o`d LMUEFRT &DUIU7

;,9 lh`tfu- Mt mu zhuumbnk tfot tfmu ukq{k ek hi

eh`dmtmh`u tro`unotku m`th dmiikrk`t h{tehlku tfo`.

uo}. mi RHOLM o`d LMUEFRT eolk bkihrk UC@O[T

o`d ORTFUZM@ Fhkykr. k eh{nd `ht nkor` tfmu

zottkr` irhl h{r zrkzrhekuukd doto um`ek DUIU m`

o` oaarkaotkd ykethr dhku `ht ehrrknotk mtf

uzkemime m`uto`ek doto

Bk}h`d tmlk dmn{tmh`. lhrk ak`kronn}. h{r

lklbkr,ek`trme dotoukt amyku {z tfk obmnmt} th

lm`k eh`tkvt{on eh`umdkrotmh`u hi ottrmb{tk doto

mtfm` um`ank m`uto`eku Tfk m`tkrkutm`a`kuu hi

ottrmb{tk yon{ku hitk` dkzk`du {zh` tfk eh`tkvt

ka fktfkr mt mu 6: I m` tfk m`tkr hr u{llkr

Qk nhuk h{r obmnmt} th lock u{ef dmutm`etmh`u fk`

k oaarkaotk onn hi h{r {`mq{k m`uto`eku m`th

norakr. dmn{tkd utr{et{rku

Dkuma` hi loefm`k nkor`m`a utrotka}

H{r m`mtmon utrotka} ihr nkor`m`a ehrrknotmh`u oerhuu

tfk fkontf eork doto ukt brhck dh` tfk zrkdmetmh`

zrhbnkl m`th h`k hi bm`or} enouumimeotmh` ihnnhkd

b} eotkahrmeon enouumimeotmh` Qk o`tmemzotkd

akttm`a ahhd rku{ntu irhl o u{zzhrt ykethr loefm`k

&UYL- m` enouumi}m`a fktfkr hr `ht o` m`dmymd{on

ou th bk fhuzmtonmwkd3 o`d tfk` u{eekuui{nn} {um`a

o` ortmimemon `k{ron `kthrc &O@@- h` tfk u{bukt hi

tfhuk zrkdmetkd th bk fhuzmtonmwkd th dktkrlm`k tfk`{lbkr hi do}u Tfmu utrotka} hi m`tkarotm`a th

dmiikrk`t loefm`k nkor`m`a tkef`mq{ku zrhykd th bk

{``kekuuor} o`d zrhbobn} mlzroetmeon. ou umlmnor

zrhbnklu krk k`eh{`tkrkd mtf bhtf tfot krk

`ht uhnykd ihr bhtf M` zortme{nor. tfk muu{k hi uck

m` h{r doto ukt. ou mnn{utrotkd b} Ima{rk 2. zrhykd th

f{akn} efonnk`am`a ihr tfk onahrmtflu

Ortmimemon @k{ron @ktqhrcu

[um`a tfk Z}Brom` nmbror} S4\. k eh`utr{etkd

l{ntmznk ikkd,ihrord boec,zrhzoaotmh` `k{ron

`kthrcu mtf =9 m`z{tu. =9 fmddk` `hdku. o`d ?

h{tz{t &bm`or} enouumimkr- M` hykrehlm`a zrhbnklu

mtf hykrinhu o`d l{ntmznmeotmh` krrhru. k

dmuehykrkd o` muu{k m` tfk o} tfk to`f arodmk`t

krrhr ou eone{notkd. o`d rkihrlottkd tfmu

eone{notmh` m`th o nm`kor h`k

Qfk` trom`kd oaom`ut tfk inottk`kd imnku dkuermbkd

zrkymh{un}. h{r O@@u ro` b{t ak`kronn} dmd `ht

eh`ykrak thordu o nh krrhr. kyk` oitkr r{``m`a

ihr ukykron do}u utromaft h` o ehrzhrotk ukrykr

Tfmu dmuozzhm`tm`a rku{nt utklu irhl tfk uck m`

tfk doto ukt. fkrk tfk loghrmt} enouu rkzrkuk`tu

obh{t 6;+ hi onn doto Tfk zrhbnkl hi uck eo{uku

tfk O@@ th zrhbobmnmutmeonn} efhhuk tfk loghrmt}

enouu thh hitk` Ou k mnn ukk m` tfk `kvt uketmh .

u{zzhrt ykethr loefm`ku k`eh{`tkrkd tfk uolk

zrhbnkl

Th hykrehlk tfmu zrhbnkl mtf `k{ron `kthrcu.

k trmkd ro`dhl uolznm`a hi tfk `{nn enouu uh tfot

tfkrk mu o` kq{on olh{`t hi `{nn o`d zhumtmyk

trom`m`a hee{rrm`a Tfmu onuh iomnkd th eh`ykrak th o

rkouh`obn} nh krrhr Tfmu `k{ron `kthrc oet{onn}

zrhykd th bk nkuu oee{rotk tfo` o enouumimkr tfot

ono}u a{kuukd {nn &`h fhuzmtonmwotmh`- yon{ku

O`htfkr ozzrhoef th {um`a `k{ron `kthrcu

m`en{dkd `ht {um`a o lklbkr,ek`trme doto ukt ou

dkuermbkd m` tfk zrkzrhekuum`a uketmh`. b{t ukkm`a

mi tfkrk lo} bk o`} uzkemime m`dmymd{on enomlu mtf

zrkdmetmyk yon{k Onn lklbkr m`ihrlotmh` ou

ozzk`dkd th koef enoml. m`en{dm`a ak`dkr. dr{a

eh{`tu. do}u m` fhuzmton. o`d uh h` Tfmu zrhd{ekd

bkttkr rku{ntu. b{t tfk trom`m`a bkfoymhr dmd `ht

mlzrhyk q{mecn}. ou}lzthtmeonn} ozzrhoefm`a obh{t?:+ krrhr &`ht m` RLUNK. h`n} o rknotmyk lkou{rk-

Oitkr utortm`a mtf obh{t 2;+ krrhr. mt drhzzkd

oitkr th mtkrotmh`u th obh{t ?5+ krrhr. bkihrk

locm`a tfrkk ulonn drhzu hykr tfk ihnnhm`a 5:

kzhefu hi obh{t ?+ krrhr rkd{etmh` koef Tfk noec

hi rkon mlzrhyklk`t tfkrkoitkr ou u{rzrmum`a

ehlzorkd th tfk `{lbkr hi kzhefu &tfh{uo`du-

ulonnkr kvolznk uktu krk ukk` th eh`ykrak

7/31/2019 Mining Health Care Data To Predict Hospitalization

5/10

Zoak ; hi?:

U{zzhrt Ykethr Loefm`ku

[um`a Hro`ak o`d UYLnmaft Z}tfh` nmbrormku S5.;\.

k dmd kvtk`umyk kvzkrmlk`totmh` mtf UYLu M`

ukkcm`a th trom` oaom`ut tfk uckkd doto ukt

dkuermbkd m` Ima{rk 2. k ih{`d tfot UYLu u{iikrkd

tfk uolk zrhbnkl hi hykr,zrkdmetmh` hi `{nn yon{ku

Qk tfkrkihrk `kkdkd th ottoec tfmu zrhbnkl m` o

lhrk uhzfmutmeotkd o}. o`d zrkymh{u rkukorefkru

foyk ih{`d u{eekuu m` o zortmtmh`m`a lktfhd S1\.

dkuermbkd m` Ima{rk 4

Ima{rk 4 Irhl S1\. o dmoarol kvznom`m`a tfk

orefmtket{rk hi h{r ozzrhoef th uhnym`a tfk muu{k hi

uckkd dotouktu ihr UYL k`uklbnk zrkdmetmh` M` tfmu

ima{rk. `kaotmyk trom`m`a doto ork dkehlzhukd m`th C

zortmtmh`u. o`d tfk` koef zortmtmh` mu ehlbm`kd mtf tfk

um`ank ukt hi zhumtmyk trom`m`a doto UYLu ork trom`kd

m`dkzk`dk`tn} ihr koef zortmtmh` fmnk o thz,nkykn

oaarkaotmh` uefklk {uku tfk zrkdmetmh`u hi tfkuk UYL

uktu th lock o um`ank ukt hi zrkdmetmh`u Qk tkutkd

l{ntmznk lko`u hi oaarkaotmh`. m`en{dm`a7 umlznk

loghrmt} yhtk hi rh{`dkd kmaftu. {`o`mlh{u zhumtmyk

yhtk hr knuk `kaotmyk. lovml{l h{tz{t kmaft m`u. o`d

kmaft u{llotmh`u Tfk bkut,zkrihrlm`a oaarkaotmh`

lktfhd ou {`o`mlh{u zhumtmyk yhtk hr knuk `kaotmyk

M` zortmtmh`m`a tfk loghrmt} `{nn doto ihr rklhym`auck. k onuh h`dkrkd fktfkr bkttkr

zkrihrlo`ek eh{nd bk hbtom`kd tfrh{af en{utkrm`a

hi tfk `{nn ukt Tfk m`tkrkut m` uknketmyk

zortmtmh`m`a nmku m` tfk zhuumbmnmt} tfot UYLu lo} bk

obnk th dktket zottkr`u lhrk koumn} m` umlmnor doto

Kyk` mi tr{k. tfkrk rklom`u o efonnk`ak m` fh

m`ihrlotmh` irhl dmiikrk`t zottkr`u eh{nd bkut bk

oaarkaotkd Th kvznhrk tfmu q{kutmh` klzmrmeonn}.

k tkutkd yormh{u dmuto`ek lkou{rku o`d

en{utkrm`a tkef`mq{ku. mtf tfk u{zzhrt hi tfk

Z}tfh` nmbror} Z}en{utkr S=\ Qk trmkd {um`a ehum`k

umlmnormt}. c,lko`u en{utkrm`a. Zkoruh`u

ehrrknotmh`. yormobnk o`d fk{rmutme en{utkrm`a.

oykroak dmuto`ek. lkdmo` dmuto`ek. o`d ehllh`

K{enmdmo` lktrmeu

Ou lo} foyk bkk` o`tmemzotkd. en{utkrm`a boukd

{zh` tfkuk lkou{rku dhku `ht `ot{ronn} zrhd{ek

en{utkru hi kq{on &hr `korn} kq{on- umwku M` htfkr

hrdu. en{utkrm`a ou o ihrl hi zortmtmh`m`a ihr tfk

z{rzhuk hi rklhym`a uck dhku `ht dmrketn} hrc3

k l{ut mlzhuk uhlk utr{et{rk h`th tfk zrhekuu

Tfk rke{rumyk zortmtmh`m`a zrhekuu k {ukd m`

rkuzh`uk mu kvznom`kd m` Ima{rk ;

Ima{rk ; Mnn{utrotmh` hi rke{rumyk en{utkrm`a {`tmn onn`kaotmyk doto mu en{utkrkd m`th kq{on zortmtmh`u.

oeehrdm`a th rkq{mrklk`tu kvznom`kd m` Ima{rk 4 Tfk

zrhekuu utortu tfrh{af ozznmeotmh` hi o trodmtmh`on

en{utkrm`a onahrmtfl u{ef ou c,lko`u th `kaotmyk doto

Mt tfk` kvolm`ku efkecu fktfkr o`} en{utkru hi

`kaotmyk doto foyk u{buto`tmonn} lhrk m`uto`eku tfo`

tfk zhumtmyk ukt Mi uh. mt uznmtu tfkl. o`d efkecu oaom`

{`tmn onn rklom`m`a en{utkru ork hi `korn} kq{on umwk

7/31/2019 Mining Health Care Data To Predict Hospitalization

6/10

Zoak 9 hi?:

Rke{rumyk en{utkrm`a ou o` m`tknnmak`t lko`u hi

zortmtmh`m`a dmd `ht dmrketn} nkod th bkttkr rku{ntu

Qk bknmkyk tfmu mu d{k th tfk ehlznkvmt} hi doto

m`tkarotmh` Rkukoref m th fh tfk doto utr{et{rku

ork tro`uihrlkd b} tfk loefm`k nkor`m`a

onahrmtflu eh{nd k`obnk mlzrhyklk`tu Fhkykr.

k dkemdkd th zrhekkd ihr tfk tmlk bkm`a {um`a

ro`dhl zortmtmh`m`a hi kaotmyk doto

Ima{rk 9 Mnn{utrotmh` hi utomreouk UYL lhdkn Tfk imrut

utkz mu th zrkdmet mi fhuzmtonmwotmh` mnn bk : do}u &rkd.

`kaotmyk- hr lhrk tfo` : do}u &arkk`. zhumtmyk- Tfmu

lko`u trom`m`a tfk k`uklbnk hi UYLu ou kvznom`kd m`

Ima{rk 4 Tfk` k enouumi} fktfkr tfhuk zrkdmetkd th

bk fhuzmtonmwkd ihr lhrk tfo` : do}u mnn bk fhuzmtonmwkdihr ? do} ,hr, lhrk tfo` ? do}3 ihr tfhuk enouumimkd ou

lhrk tfo` ? do}. k ukk mi tfk} ork enouumimkd ou bkm`a

fhuzmtonmwkd ihr 2 do}u ,hr, lhrk tfo` 2 do}u3 k rkzkot

tfk zrhekuu {`tmn k foyk enouumimeotmh`u ehlznktkd ihr

onn ?; do}u Tfmu rkq{mrku trom`m`a ?; {`mq{k k`uklbnku

hi UYLu {um`a ou lo`} {`mq{k unmeku hi tfk doto M` tfmu

o}. tfk u}utkl eo` mtkrotmykn} utkz {z thordu

enouumimeotmh` hi m`erkoum`an} ulonn lm`hrmt} enouuku

Tfk ozzrhoef kvznom`kd m` Ima{rk 4 mu o lko`u hi

bm`or}enouumimeotmh` m` tfk ioek hi uckkd doto th

zrkdmet fktfkr uhlkh`k mnn hr mnn `ht ah th tfk

fhuzmton B{t fh eh{nd k kvzo`d h{r UYL lhdkn

th zrkdmet tfk `{lbkrhi do}u fhuzmtonmwkd8 H{r

doto ukt mu uckkd m` lo`} o}u. uh k `kkdkd th

zrkukryk h{r uhn{tmh` m` o`} kvtk`umh`

Qmtf tfmu m` lm`d. k mlznklk`tkd o` hrmam`on

UYL enouumimeotmh` uefklk. fmef k rkikr th ou o

utomreouk lhdkn Ima{rk 9 kvznom`u tfk

i{`dolk`tonu hi fh k b{mnt o UYL nkor`m`a

u}utkl tfot eo` lock eotkahrmeon zrkdmetmh`u.

boukd h` mtkrotmh`u hi bm`or} zrkdmethru Tfmu

u}utkl m`ehrzhrotku ?; k`uklbnku hi UYLU

Tfk lhdknu tfot ork trom`kd eo` bk tkutkd o`d {ukd

utkz,b},utkz. mtf h`k k`uklbnk lhdkn bkm`a r{`

oitkr tfk `kvt Tfmu eo` rkd{ek ehlz{totmh`ondklo`du mi mt mu dkemdkd tfot tfk imrut `kaotmyk

h{tz{t mu tfk zrkdmetkd h{tz{t ihr tfk m`uto`ek

&`kaotmyk h{tz{tu ork ufh` m` rkd m` Ima{rk 9-

Fhkykr. tfkrk mu o` hzzhrt{`mt} ihr lkto,nkor`m`a

hr lkto,lkto nkor`m`a. eh`umdkrm`a fh l{ef

fmkroref} mu m` tfmu lhdkn onrkod} Qk eo` zrhekuu

onn ?; lhdknu m`dkzk`dk`t hi koef htfkr. o`d

zhtk`tmonn} dh uh l{ef ioutkr tfo` h`k ot o tmlk mi

k zoronnknmwk tfk touc tfrh{af en{utkr ehlz{tm`a

&Lhrk eo` bk ih{`d h` u{ef zoronnkn ehlz{tm`aeh`umdkrotmh`u m` h{r uketmh` dktomnm`a hrc dh`k

mtf Olowh` KE2- Qfot k ih{`d mtf tfmu

ukeh`d ozzrhoef. zkrfozu {`u{rzrmum`an}. mu tfot

rorkn} dmd onn ?; lhdknu lock zrkdmetmh`u m`

forlh`} Ihr kvolznk. h`k k`uklbnk lo} bk

utrh`an} zrkdmetm`a tfot tfk `{lbkr hi do}u

fhuzmtonmwkd mu hykr 6. fmnk o`htfkr k`uklbnk

bknmkyku g{ut ou utrh`an}. ou lkou{rkd b} mtu h{tz{t

kmaftu. tfot tfmu zkruh` mnn `ht bk ahm`a th tfk

fhuzmton ot onn

Tfk q{kutmh` tfk` bkehlku7 Fh th dkon mtf tfk

ukklm`a efohu hi eh`trodmetmh`u m` o ulort o}8

Qk dkemdkd th eh`utr{et boume r{nku ihr tfk ?;

k`uklbnk h{tz{tu th ah tfrh{af m` dktkrlm`m`a o

um`ank im`on zrkdmetmh` R{nku m`en{dkd amym`a

zrkekdk`ek th k`uklbnk zrkdmetmh`u mtf utrh`akr

kmaft. o`d oykroam`a oerhuu l{ntmznk k`uklbnku

7/31/2019 Mining Health Care Data To Predict Hospitalization

7/10

Zoak 1 hi?:

Dkemumh` Trkku

Qk kvznhrkd htfkr umlznk doto lm`m`a tkef`mq{ku

th ukk mi zkrfozu k eh{nd hbtom` bkttkr rku{ntu

tfo` tfhuk irhl tfk UYL o`d `k{ron `kthrc

Uhlk m`tkrkutm`a rku{ntu krk hbtom`kd irhl

hrcm`a mtf dkemumh` trkk enouumimkru tfot krk

boukd h` tfk Am`m m`dkv ihr ottrmb{tk uknketmh`

Ima{rk 1ufhu tfk RHE e{ryk ihr h{r dkemumh` trkk

tr{k(ionuk,zhumtmyk rotk m` zrkdmetm`a

fhuzmtonmwotmh u hi h`k do}

Ima{rk 1 RHE e{ryk ihr o dkemumh` trkk tkutkd ihr

fhuzmtonmwotmh`u hi h`k do} Tfk ehlzhumtk orko {`dkr

tfk RHE e{ryk &O[E- lkou{rku th :6;? Tfk dkemumh`

trkk {ntmlotkn} zkrihrlkd bkttkr tfo` uhnh. {`odhr`kd

UYLu h` `h`,wkrh doto. rkekmym`a o` RLUNK hi :9==?

ehlzorkd th :1?49

Olowh` Knoutme Ehlz{tk Enh{d

Ou k uh{aft th kvznhrk tfk zkrihrlo`ek hi `k{ron

`kthrcu o`d UYLu. k `kkdkd th dkon mtf obh{t

?;: LB hi ro doto. o`d htfkr doto erkotkd d{rm`a

zrkzrhekuum`a Mt mu tr{k tfot k krk obnk th

rkd{ek tfk eh`utrom`tu h` zrhekuum`a tfrh{af

uolznm`a hi h{r doto ukt. b{t k hitk` fod th r{`

oaom`ut h{r k`tmrk doto ukt ou k trmkd th tkoc h{r

onahrmtflu m` ioyhr hi knmemtm`a bkttkr anhbon

zkrihrlo`ek Tfkrkihrk. k ioekd ukrmh{u

fordork efonnk`aku mtf h{r im`mtk ehlz{tkru.

fmef unhkd {u dh` ihr o tmlk

Qk bknmkykd tfot enh{d ehlz{tm`a ou o` kveknnk`t

uhn{tmh` th h{r zrhbnkl Qfmnk k c`k tfot k

eh{nd k`obnk r{``m`a l{ntmznk ghbu ot h`ek. kkrk kuzkemonn} m`tkrkutkd m` r{``m`a ghbu h` ioutkr

zrhekuuhru Oitkr o brmki u{ryk} hi tfk lorckt ihr

enh{d ehlz{tm`a ukrymeku. k dkemdkd th hrc mtf

Olowh` Qkb Ukrymeku ihr mtu kvtk`umyk u{zzhrt o`d

umlznk. hzk` OZMu S9\ Uh k uma`kd {z ihr o

zrmyotk oeeh{`t o`d aht th hrc kvznhrm`a fh k

eh{nd r{` h{r zrharolu h` mt

Tfk efonnk`ak eolk m` ima{rm`a h{t fh th hrao`mwk

h{r u}utkl. bkeo{uk `h t{thrmonu krk rkonn}

uzkemime th h{r touc Imrut k `kkdkd th efhhuk tfkt}zkhi ukrymek k o`tkd. fmef t{r`kd h{t th bk

Olowh` Knoutme Ehlz{tk Enh{d &KE2- Htfkr

ukrymeku krk hi m`tkrkut. u{ef ou Olowh` Umlznk

Uthroak Ukrymek &U5- ihr dkonm`a mtf norak olh{`tu

hi zkrumutk`t doto. o`d Knoutme LozRkd{ek. fmef

fod Ozoefk Fodhhz en{utkrm`a mlznklk`totmh`u

ford,mrkd m`th o umlznk hiikrm`a Fhkykr. k

rkonmwkd tfot k eh{nd u{eekuui{nn} uoyk h{r

m`ihrlotmh` tfrh{af KE2u i{`etmh`onmt}. locm`a U5

{``kekuuor}3 o`d tfk loefm`k nkor`m`a nmbrormku

k fod eh{nd `ht bk koumn} eh`ykrtkd m`th loz,

rkd{ek i{`etmh`u dkuma`kd ihr zoronnkn ehlz{tm`a.

uh k eh{nd `ht klznh} tfk Fodhhz,boukd ukrymek

Mt {ntmlotkn} t{r`kd h{t tfot r{``m`a o Z}tfh`

zrharol h` tfk enh{d mtf yormh{u nmbror}

dkzk`dk`emku rkq{mrkd h`n} o ik umlznk utkzu

Imrut. k `kkdkd th efhhuk tfk t}zk hi ymrt{on

loefm`k k o`tkd h{r enh{d ukrykr th r{`.

c`h` ou o` Olowh` Loefm`k Mloak &OLM-

F{`drkdu hi z{bnme o`d zrmyotk OLMu krk

oyomnobnk. rkuklbnm`a o`}tfm`a irhl o ro Nm`{v

ukt{z th Qm`dhu ukrykru th e{uthlmwkd

mlznklk`totmh`u ihr uemk`tmime ehlz{tm`a Oitkr

kvznhrm`a tfk `ot{rk hi tfk u}utkl k `kkdkd. k

efhuk tfk UtorEn{utkr OLM. o` hzk` uh{rek zrhgket

irhl LMT S?:\ &UTOR mu o` obbrkymotmh` ihr

Uhitork Thhnu ihr Oeodklmeu o`d Rkukorefkru-

7/31/2019 Mining Health Care Data To Predict Hospitalization

8/10

Zoak 6 hi?:

UtorEn{utkr zrhymdku o Nm`{v loefm`k kq{mzzkd

mtf Z}tfh` nmbrormku tfot k `kkdkd m`utonnkd o`d

hztmlmwkd. nmck @{lZ} o`d UemZ}. m` oddmtmh` th o

norak {lbkr hi htfkr e{uthlmwkd ikot{rku

H`ek k uknketkd tfk OLM. k`aoam`a mtf mt mu ou

umlznk ou no{`efm`a o` m`uto`ek &ghb- tfrh{af

Olowh`u KE2 lo`oaklk`t eh`uhnk. o`d tfk`eh``ketm`a mtf tfk ozzrhzrmotk uke{rmt}

erkdk`tmonu ymo UUF H`ek eh``ketkd. k foyk

oeekuu th o ehllo`d nm`k m`tkrioek mdk`tmeon th o

`hrlon Nm`{v loefm`k Qk krk tfk` obnk th

ehlznktk tfk oddmtmh`on dkzk`dk`emku k `kkdkd

irhl Z}Brom`. UYLnmaft. o`d knukfkrk {um`a tfk

umlznk amt enh`k ehllo`d O`d k eh{nd {znhod

h{r doto o`d Z}tfh` zrharolu th tfmu m`uto`ek

{um`a UITZ Im`onn}. k rkeha`mwkd tfot k uoyk

h{r nmbrormku o`d ukt{z ihr i{t{rk ghbu th r{` ot o`}

tmlk b} kvzhrtm`a tfk kvmutm`a m`uto`ek m`th o

ehlznktkn} `k OLM Tfk` k krk obnk th bhht

{z h{r ehlznktkn} e{uthlmwkd OLM h` tfk enh{d

o`d r{` `k Z}tfh` zrharolu k {znhodkd m` o

lottkr hi o ik lm`{tku

Qfmnk tfk zrmymnkaku hi bkm`a obnk th r{` l{ntmznk

ghbu m` tfk enh{d uml{nto`kh{un} krk rkon. tfk

kiimemk`e} mlzrhyklk`tu tfot k kvzketkd th aom`

zrhykd `ht th bk Qk zrhykd tfmu tfrh{af o`

kvzkrmlk`t. o`d eh`imrlkd mt mtf ihnnh {z

rkukoref H{r kvzkrmlk`t ou th uml{nto`kh{un}

no{`ef o ghb h` h`k hi h{r loefm`ku o`d KE2u

bhndkut um`ank m`uto`ek hiikrm`a7 Fmaf Lklhr}

_{odr{znk Kvtro Norak M`uto`ek. fmef onnkakdn}

lkou{rku ot obh{t 29 AFw hi zrhekuum`a zhkr

mtf 96 AB hi ROL H{r loefm`k. b} ehlzormuh`.

ou 21 AFw. 6 AB Oitkr ?: lm`{tku m`th tfk

kvzkrmlk`t. k krk dknmaftkd th im`d tfk `k{ron

`kthrc h` KE2 eh`ykram`a obh{t 4 tmlku ioutkr.

rkoefm`a ?2 kzhefu th h{r loefm`ku 5 kzhefu B{t

h{r loefm`k thhc tfk nkod oitkr 5: lm`{tku.rkoefm`a ;6 kzhefu th KE2u ;4 O`d mt unhn} ro`

oo} oitkr 9: lm`{tku7 ?:6 kzhefu th =5 kzhefu

Qf} ou tfmu uh8

H{r dmuozzhm`tm`a kiimemk`emku mtf KE2 krk

eh`imrlkd b} rkukoref m`dmeotm`a tfot oykroak EZ[

{tmnmwotmh` m` z{bnme enh{du nmck Olowh`u ou h`n}

obh{t 1+ hi tfk `hlm`on hiikrm`a S??\ Ozzork`tn}

fmnk ehlzo`mku nmck Olowh` dh oet{onn} dkdmeotk

tfk utotkd olh{`t hi fordork irhl tfkmr z{bnme

ukrykru th enmk`tu. l{ef hi tfot onnheotmh` mu nkit

{`{ukd m`tk`tmh`onn} ihr tfk z{rzhuku hi muhnotm`a

l{ntmznk dmykrak`t u}utklu h` tfk uolk loefm`k

B{t tfot dmd `ht ehlznktkn} kvznom` tfk muu{k Qk

dmuehykrkd oitkr uhlk zrhbm`a tfot h{r EZ[

{tmnmwotmh` m` tfk kvzkrmlk`t znotko{kd ot obh{t?2; zkrek`t &ukk Ima{rk 6- fmnk h{r h` loefm`k

onnheotkd 2; zkrek`t hi EZ[ {uoak th tfk Z}tfh`

zrhekuum`a Tfkuk yon{ku krk utrmcm`a bkeo{uk hi

tfkmr rkemzrhemt} mtf tfk `{lbkru 6 o`d 4 Tfotu

fk` k rkonmwkd tfot tfk KE2 m`uto`ek ou

eh`umdkrkd th bk ehlzrmukd hi 6 ymrt{on ehrku.

fmnk h{r h` loefm`k fod o` M`tkn m1 q{od,ehrk7

H{r onahrmtflu krk ht ehlz{tm`a oerhuu ehrku/

Ima{rk 6 Lkou{rklk`tu irhl Enh{dQotef ukrymek hi

Olowh` KE2 h` EZ[ zkrihrlo`ek d{rm`a o` kvzkrmlk`t

mtf h{r `k{ron `kthrc onahrmtflu KE2 {ntmlotkn}

hztmlmwkd ot ?2;+. fmef k rkonmwkd ou o i{nn{tmnmwotmh` hi o um`ank ehrk olh`a 6 ymrt{on ehrku

Ou loefm`ku mtf l{ntmznk ehrku foyk h`n} bkehlk

ehllh` mtfm` obh{t tfk zout dkeodk. uhitork

dkyknhzlk`t rkamlku ihr l{ntm,ehrk ehlz{tm`a ork

utmnn `ouek`t I{rtfkr. tfk zrhbnklu erkotkd b}

l{ntm,ehrk ehlz{tm`a ukkl ykr} umlmnor th tfhuk

mtf en{utkrkd ehlz{tm`a. uhnykd b} Fodhhz

7/31/2019 Mining Health Care Data To Predict Hospitalization

9/10

Zoak = hi?:

Rku{ntu o`d eh`en{umh`u

H{r bkut rku{nt. hbtom`kd b} tfk UYL utomreouk

lhdkn. fod o RLUNK hi :;:2. o`d ou ro`ckd

12:tf olh`a ==: u{blmuumh`u th tfk FFZ Mt

zkrihrlkd bkttkr tfo` u{blmuumh`u hi onn wkrhu.

fmef fod o RLUNK hi :;22 Tfk hrut tkol mtf

l{ntmznk u{blmuumh`u fod o RLUNK hi ?:5. fmnk

tfk bkut tkol ot tmlk hi rmtm`a fod :4;? O bork

UYL r{` h` fhuzmtonmwotmh` doto hi arkotkr tfo` :

do}u kor`kd o RLUNK hi :1?43 o dkemumh` trkk h`

`h`,wkrh doto fod :9== [ntmlotkn}. tfkuk rku{ntu

ork k`eh{roam`a. ontfh{af rkinketmyk tfot tfkrk mu

utmnn l{ef hrc th bk dh`k m` trom`m`a o enouumimkr

tfot eo` bk tr{utkd m` o rkon hzkrotmh`on ukttm`a

Qf} dmd h{r loefm`k nkor`m`a onahrmtflu `ht

eh`ykrak th bkttkr rku{ntu8 Qknn. mt mu m`dkkd o

ehlznkv dhlom` ihr o`} uemk`tmut. o`d o` ora{lk`t

eh{nd bk lodk tfot tfkrk mu umlzn} `ht k`h{af doto

h` tfk {`dkrn}m`a zf}umeu th lock kvtrklkn}

oee{rotk zrkdmetmh`u B{t k bknmkyk tfkrk ork th

ck} rkouh`u k dmd `ht zkrihrl bkttkr. rknotmyk th

ehlzktmthru7 nhuuku m` zrkzrhekuum`a tfk ehlznkv

doto. o`d tfk loghr uck m` nkor m`a irhl mt Qk

c`h k eh{nd ot nkout lmtmaotk tfkuk efonnk`aku

mtf lhrk tmlk hrcm`a h` tfkl

H{r zrkzrhekuum`a utrotka} ou u{iimemk`t th

eh`ykrt h{r doto m`th o ihrlot olk`obnk th tfk

nkor`m`a onahrmtflu. b{t mt zrkyk`tkd {u irhl

lm`m`a irkq{k`t mtkluktu o`d ukq{k`eku mtfm`

m`dmymd{on m`uto`eku Kuuk`tmonn}. k lodk tfk

ouu{lztmh` tfot k eh{nd zrkdmet fhuzmtonmwotmh`

irhl dkeh{znkd zhhnu hi ottrmb{tk yon{k eh{`tu.

fmef lo} bk `oyk th o uma`mimeo`t kvtk`t H{r

dhlom` lhdkn mu onrkod} ehlznkv bkeo{uk dmiikrk`t

zkhznk eo` rkuzh`d dmiikrk`tn} th tfk kvoet uolk

emre{luto`eku &ukt hi m`uto eku- B{t b} utrmzzm`a

tklzhron o`d utr{et{ron m`ihrlotmh` irhl h{r doto.k lodk h{r zrhbnkl lhrk eh`i{um`a. kyk` ihr o

zkriket nkor`kr

Utmnn. k bknmkyk tfk doto ou k zrkzrhekuukd mt

fhndu lhrk rkuh{reku ihr oee{rotk zrkdmetmh` tfo`

h{r onahrmtflu ih{`d Tfkrkihrk. tfk lom` muu{k

k uzk`t lhut hi h{r k`kra} toecnm`a ou tfot hi

tfk doto bkm`a dhlm`otkd b} `kaotmyk yon{ku

Ihrt{`otkn}. h{r ozzrhoef th rork enouu zrkdmetmh`

tfrh{af k`uklbnku dknmykrkd l{ef bkttkr

zkrihrlo`ek tfo` ro UYLu o`d `k{ron `kthrcu

B} amym`a lhrk kmaft th tfk zhumtmyk m`uto`eku hi

fhuzmtonmwotmh` m` h{r nkor`m`a. k b{mnt o u}utkl

tfot mu l{ef lhrk nmckn} m` tfk ioek hi o bono`ekd

doto ukt th ak`krotk ionuk zhumtmyku tfo` ionuk

`kaotmyku Tfmu h{nd bk ozzrhzrmotk ihr h{ruzkemime rkon,hrnd zrhbnkl. um`ek zrkyk`totmyk

eork mu uma`mimeo`tn} efkozkr tfo` fhuzmtonmwotmh`.

o`d zkhznk h{nd zrkikr th bk rmuc oykruk mtf

tfkmr nmyku ot utock Uh mt mu bkttkr th foyk o

zrkdmetmyk u}utkl tfot uktu hii onorlu. kyk` mi tfkrk

mu h`n} o ?:+ efo`ek hi uhlktfm`a tkrrmbnk

fozzk`m`a. nmck bkm`a fhuzmtonmwkd Fhkykr.

RLUNK dhku `ht oeeh{`t ihr u{ef o bmou thordu

u{rymyon. o`d oeehrdm`an} o zrkdmetmh` hi onn wkrhu.

fmef mu o zkriket zrkdmetmh` ihr 6;+ hi tfk doto.

ou `ht kou} th bkot

I{t{rk qhrc o`d rkukoref

Qk h{nd nmck th i{rtfkr kvznhrk htfkr lktfhdu hi

zorum`a o`d ihrlottm`a h{r doto ihr z{rzhuku hi

dmlk`umh`onn} kvtroetm`a htfkr ikot{rku irhl mt

Tfmu lko`u lozzm`a h{t fot tfk doto zf}umeonn}

rkzrkuk`tu. o`d ottoecm`a mt tfrh{af dmiikrk`t

unmeku. m tkarotmh`u. o`d tro`uihrlotmh u Mt lo}

t{r` h{t tfot uhlk hi tfk lhut kvzno`othr}ottrmb{tku o`d utr{et{rku hi h{r doto krk

dmueordkd. utrmzzkd. hr ma`hrkd m` zrhekuum`a

Qk fhzk th i{rtfkr dkyknhz hrmam`on lhdknu ihr

{um`a k`uklbnku M` dkonm`a mtf ehlznkv doto.

ehlznkv onahrmtflu. o`d ehlznkv zrkzrhekuum`a.

k foyk o nht hi hzzhrt{`mt} th dkymotk irhl tfk

zotf k foyk tock` o`d tr} ehlznktkn} `k

ozzrhoefku Qk bknmkyk tfkrk ork zrhekuum`a

utr{et{rku umlmnor m` dkztf th h{r utomreouk lhdkn

m` Ima{rk 9. b{t ehlznktkn} dmiikrk`t m` dkuma`.fmef eh{nd zkrihrl ykr} knn h` h{r doto

Zoronnkn ehlz{tm`a m`tkrkutu {u. oerhuu dmutrmb{tkd

en{utkru o`d l{ntmznk ehrku hi um`ank loefm`ku

Ik doto uemk`tmutu {`dkruto`d fh th r{`

loefm`k nkor`m`a onahrmtflu tfrh{af zmzknm`ku

B{t c`hm`a fh th mlznklk`t zoronnknmwotmh` eo`

bk ykr} rkordm`a. kuzkemonn} ihr dkyknhzlk`t hi

7/31/2019 Mining Health Care Data To Predict Hospitalization

10/10

Zoak ?: hi?:

zkrumutk`tn} r{``m`a o{thlotkd u}utklu Qk ork

zortme{norn} m`tkrkutkd m` tfk oetmyk rkukoref

q{kutmh` hi fh Fodhhz mtf LozRkd{ek eo`

k`obnk iout enouumimeotmh` hi h{tnmkru m` eotkahrmeon

dotouktu. uzkemimeonn} mtf `k{ron `kthrcu S?2\

U{ef rkukoref eh{nd bk forykutkd m`th o`

ozznmeotmh` irolkhrc ihr dkonm`a mtf o f{ak

dmykrumt} hi doto lm`m`a zrhbnklu kiimemk`tn}

Im`onn}. lhut hi h{r hrc dkont mtf kvmutm`a

nmbrormku hi odyo`ekd onahrmtflu. b{t mt mu ekrtom`n}

hi m`tkrkut th {`dkruto`d tfk utr{et{rku hi tfkuk

bnoec bhvku bkttkr Foym`a o dkkzkr c`hnkdak

hi tfk u}utklotme m``kr,hrcm`au hi `k{ron

`kthrcu o`d u{zzhrt ykethr loefm`ku. m`

zortme{nor. mnn lock {u lhrk zr{dk`t m` c`hm`a

fh th {uk tfkl ihr ottoecm`a ekrtom` doto t}zku3 mt

eh{nd zhtk`tmonn} onnh {u. d{rm`a h{r eorkkru. th

dkyknhz e{uthl odoztmh`u hi tfkuk onahrmtflu tfot

uhnyk {`mq{k rkon,hrnd zrhbnklu

? R{uuh. O. Gmo`a. FG. Borrktt. L Trk`du m`

zhtk`tmonn} zrkyk`tobnk fhuzmtonmwotmh`u olh`a

od{ntu o`d efmndrk` Fkontfeork Ehut o`d

[tmnmwotmh` ZrhgketUt Brmki %59. &2::1-

2 fttz7((fkrmtoakfkontfzrmwkehl

5 fttz7((hro`akbmhnobum

4 fttz7((z}brom`hra

; fttz7((uylnmaftghoefmluhra(

9

fttz7((ouolowh`ehl(ke2(1 ]o`. R. Nm{. ]. Gm`. R. Fo{ztlo``. O H` Zrkdmetm`a

Rork Enouu qmtf UYL K`uklbnk m` Uek`k

Enouumimeotmh` Ehlz{tkr Uemk`ek Dkzortlk`tZozkr

==6 &2::5-

6 Qo`a. B ) Gozchmew. @ Bhhutm`a U{zzhrt Ykethr

Loefm`ku ihr Mlbono`ekd Doto Uktu MULMU:656,

41&2::6-

= fttz7((z}zmz}tfh`hra(z}zm(Z}en{utkr

?: fttz7((kblmtkd{(utor(en{utkr(

?? Nm{. FO Lkou{rklk`t Ut{d} hi Ukrykr

[tmnmwotmh` m` Z{bnme Enh{duOeek`t{rk Tkef`hnha}

Nobu &2:?2-

?2 Ch{ioch{. O kt onIout zoronnkn h{tnmkr dktketmh`

ihr eotkahrmeon dotouktu {um`a LozRkd{ek @k{ron

@kthrcu. 2::67 MKKK Qhrnd Eh`ikrk`ek h`

Ehlz{totmh`on M`tknnmak`ek 52=6,55:4 &2::6-