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1
Biosketch
Current—
Past— Synopsys, Inc. (2006-2011) Graduated from NTUEE 2006
Research Interest — Data Mining, Database and Data Management
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Agenda•
• (Data Science for Epidemic Prevention)
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My Story
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Advanced Network Database Lab前瞻網路資料庫實驗室
• 我的認知 (Before 2015) – 新聞講得很嚴重,所以應該很恐怖 – 但好像也沒很恐怖, 隔壁的阿伯還穿汗衫在
公園打球,我媽說不要自己嚇自己 – 沒錯, 我就是
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我與登革熱 不熟
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Advanced Network Database Lab前瞻網路資料庫實驗室
• 有一天
• 很不幸
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我與登革熱
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Advanced Network Database Lab前瞻網路資料庫實驗室
• 怎麼辦??
• 我以為Google大神會告訴我 –你完蛋了, 你住家附近是重災區, 你
應該去快篩 –安心去睡覺~
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我與登革熱
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Advanced Network Database Lab前瞻網路資料庫實驗室 8
身為 我們自己造一個
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Advanced Network Database Lab前瞻網路資料庫實驗室 9
– http://real.taiwanstat.com/dengue-spatial-temporal/
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Advanced Network Database Lab前瞻網路資料庫實驗室 1010
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2015 Tainan Outbreak
防疫顧問團成立
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https://www.facebook.com/chinghua.huang.9/media_set?set=a.1038930549460172.1073741835.100000297104540&type=3
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Photo Credit:
(Dengue Fever)
https://www.facebook.com/chinghua.huang.9/media_set?set=a.1038930549460172.1073741835.100000297104540&type=3
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Photo Credit:
(Dengue Fever)
https://www.facebook.com/chinghua.huang.9/media_set?set=a.1038930549460172.1073741835.100000297104540&type=3
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Photo Credit:
(Dengue Fever)
https://www.facebook.com/chinghua.huang.9/media_set?set=a.1038930549460172.1073741835.100000297104540&type=3
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Photo Credit:
(Dengue Fever)
Research Spectrum @ NCKU
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Challenges in Prevention
Summary Strategies in Epidemiology
VaccinationHospital-side Control (Antibody)
InterventionGenetically Modified Mosquitos
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(Data Science for Epidemic Prevention)
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Data Science to Human Science
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資料科學 vs.
傳統GIS防疫系統
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GIS
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(
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https://whatsthebigdata.com/2016/07/08/the-new-data-scientist-venn-diagram/
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? ? ?
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1. 2. 3.TIME
3 94 7 8 1110 12 1-2
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7. 8.
••
• GIS••
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• GIS••
• GIS
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• •• Ovitrap••
2015
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?
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••••• ….
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防治規劃從多天減少為
1天
小區域熱區打擊
熱區偵測與追踪
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IT
GIS
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App Demo
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twitter @hosimaki
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Google Analytics ?
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Data Science for Epidemic Computing
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http://showbar.ctitv.com.tw/v/video/vcecddo201509081417305562.htm
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http://udn.com/news/story/8504/1223693- -
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https://www.facebook.com/chinghua.huang.9/media_set?set=a.1038930549460172.1073741835.100000297104540&type=3
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Epidemic struck
Solution 1
Under normal circumstances
Resource Allocation
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Epidemic struck
Solution 2
Under normal circumstances
Temporal Medical Stations
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…
Patients
Hospitals
Resource
Selection Temporal Medical Locations
Resource Allocation
Patient Preferences
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Perfect Service: the number of patients that do not need to wait for the beds
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• k: # of temporary medical stations
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den dengte60
k0 20 12
k1 18 12
k2 20 10
k3 18 10
k4 14 10
den dengte60
p0 13 4
p1 14 6
p2 8 3
p3 6 1
p4 1 0
Green:2015interventionin9/14~9/15Gray:Top-5resultsofoursystem.
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Acknowledgement
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