Implementation of Predictive Model for Diarrhea Among Afghanistan Children Based on Medical and Non-Medical Attributes
Author:
Affiliation:
1. Kunduz University,Department of Information Systems,Afghanistan
2. School of Information Technology (SIT), King Mongkut's University of Technology Thonburi (KMUTT),Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10216364/10216365/10216460.pdf?arnumber=10216460
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1. Support vector machines for classification of low birth weight in Indonesia
2. Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
3. Diarrhea in Under Five Year-old Children in Nepal: A Spatiotemporal Analysis Based on Demographic and Health Survey Data
4. Risk Factors for Diarrhea in Children Under Five Years of Age Residing in Peri-urban Communities in Cochabamba, Bolivia
5. Neural Networks vs. Random Forests - Does It Always Have to be Deep Learning;roßbach;Germany Frankfurt School of Finance and Management,2018
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