| Presentation | 2017-12-02 Using Biological Variables and Social Determinants to Predict Malaria and Anaemia among Children in Senegal Boubacar Sow, Hiroki Suguri, Hamid Mukhtar, Hafiz Farooq Ahmad, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Integrating machine learning techniques in healthcare has become very common nowadays, and has contributed positively to improving clinical care and health decisions planning. Anemia and malaria are two life-threating diseases in Africa which affect the red blood cells and reduce hemoglobin production. This paper focuses on analyzing health data using four machine learning algorithms: KNN, Random Forests, SVM and Na?ve Bayes. Our task aims to investigate data collected in Senegal by the Demographic and Health Survey (DHS) and to find out hidden information for anemia and malaria. We present two classification models for the two blood disorders using biological variables and social determinants of health. The findings of this research will contribute to improving child healthcare in Senegal by eradicating anemia and malaria, and decreasing child mortality rate. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine Learning / Anemia / Malaria / Biological Variables / Social Determinants / Children health / DHS |
| Paper # | SWIM2017-21 |
| Date of Issue | 2017-11-25 (SWIM) |
| Conference Information | |
| Committee | SWIM |
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| Conference Date | 2017/12/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo University of Science, Kagurazaka Campus, Fujimi Building |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Implementation of Modeling, General (Workshop) |
| Chair | Yoshihisa Udagawa(Tokyo Polytechnic Univ.) |
| Vice Chair | Tadashi Ogino(Meisei Univ.) / Osamu Yuki(Canon) |
| Secretary | Tadashi Ogino(Fujitsu Labs.) / Osamu Yuki(Bunkyo Univ.) |
| Assistant | Akihiro Hayashi(Onosokki) / Kenji Saotome(Hosei Univ.) / Shinya Nogami(TUS) |
| Paper Information | |
| Registration To | Technical Committee on Software Interprise Modeling |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Using Biological Variables and Social Determinants to Predict Malaria and Anaemia among Children in Senegal |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | Anemia |
| Keyword(3) | Malaria |
| Keyword(4) | Biological Variables |
| Keyword(5) | Social Determinants |
| Keyword(6) | Children health |
| Keyword(7) | DHS |
| 1st Author's Name | Boubacar Sow |
| 1st Author's Affiliation | Miyagi University(Miyagi Univ.) |
| 2nd Author's Name | Hiroki Suguri |
| 2nd Author's Affiliation | Miyagi University(Miyagi Univ.) |
| 3rd Author's Name | Hamid Mukhtar |
| 3rd Author's Affiliation | Taif University(Taif Univ.) |
| 4th Author's Name | Hafiz Farooq Ahmad |
| 4th Author's Affiliation | King Faisal University(KFU) |
| Date | 2017-12-02 |
| Paper # | SWIM2017-21 |
| Volume (vol) | vol.117 |
| Number (no) | SWIM-336 |
| Page | pp.pp.13-20(SWIM), |
| #Pages | 8 |
| Date of Issue | 2017-11-25 (SWIM) |