1. Constructing Intelligent Hospital – developing platforms for estimating risks and the subsequent management of chronic diseases in Taiwan Hsing-Yi Chang1,2, Ching-Yu Huang3, Hsin-Ling Fang1 1.Institute of Population Health Sciences, National Health Research Institutes, 2. Institute of Public Health, National Yang-Ming University, 3.Industrial Technology Research Institutes
CVD
Platform for health risk prediction
Chronic diseases risk prediction
Individualized health care
Platform for health care
Health professionals
Our System
Some results
2002TwSHHH (Model Validation)
Nutritional survey (model building)
CVD - MALE
AGE
0.0590
BMI
0.0225 UA
0.0967
SBP
0.0149
HDL C
0.66 χ2
6.27
S0(10)
0.61
Variables C
AIC X1
AGE
0.656
3995.6 X2
AGE+BMI
0.679
2394.1 X3
AGE+BMI+UA
0.684
2291.6 X4
AGE+BMI+UA+SBP
0.688
2289.7 X5
AGE+BMI+UA+SBP+HDL
0.690
2265.6 X6
AGE+BMI+UA+SBP+HDL+DBP
0.691
2266.8
Procedure for risk prediction
Data sources
Risk Factors
Model Building
Model Validation
National Health Survey
Search literatures: age, sex, blood pressure, lipids, etc.
Cox Proportional Hazard model
Conclusions
Similar methods were applied to other diseases
Models were installed in one location and transmitted to hospitals/clinics via Advanced Program Interface (API) or VPN.
Health Insurance & Death Registry