Screening a portfolio of pathologies by subject profiling and medical test rationing
| Autor: | Bienvenu Bongue, Vincent Augusto, Nilson Herazo-Padilla, Xiaolan Xie, Benjamin Dalmas |
|---|---|
| Přispěvatelé: | Centre Ingénierie et Santé (CIS-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Système Nerveux Autonome - Epidémiologie, Physiologie, Ingénierie, Santé (SNA-EPIS), Université Jean Monnet [Saint-Étienne] (UJM)-Centre Hospitalier Universitaire de Saint-Etienne |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
National health
medicine.medical_specialty Rationing Decision tree Preventive health 02 engineering and technology 3. Good health [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] 03 medical and health sciences 0302 clinical medicine Medical test 0202 electrical engineering electronic engineering information engineering medicine Profiling (information science) Portfolio 020201 artificial intelligence & image processing Medical physics 030212 general & internal medicine Medical prescription ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE) 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), Aug 2019, Vancouver, France. pp.424-430, ⟨10.1109/COASE.2019.8843170⟩ CASE |
| Popis: | Health preventive medical evaluation programs are strategies commonly implemented as part of national health prevention efforts. Two problems related with the implementation of such strategies are subject profiling and medical test selection. The amount of different types of information that have to be analyzed by physicians in the screening for pathologies and medical test prescription can be overwhelming and significantly increases the complexity of this problem. Two decision-tree-based approaches are proposed in this study for subject profiling and medical test rationing. The proposed models perform well in terms of prediction. Results show that the implementation of these approaches helps to profile consultants into healthy and unhealthy subjects which can be used to ration medical test and design policies for preventive health evaluation programs. |
| Databáze: | OpenAIRE |
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