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| Titre: | Machine learning in the medical field: A comprehensive overview |
| Auteur(s): | Belgacem, Ali
Khoudi, Asmaa
Boudane, Fatima
Berrichi, Ali |
| Mots-clés: | Diseases
Health Assessment
Machine Learning
Smart health monitoring |
| Date de publication: | 2023 |
| Editeur: | Institute of Electrical and Electronics Engineers Inc |
| Collection/Numéro: | 2023 International Conference on Decision Aid Sciences and Applications (DASA), Annaba, Algeria, 2023;pp. 103 - 108 |
| Résumé: | Machine learning utilization in medicine has increased interest over the last few years. With its impressive results in treating diseases and medical conditions, it will be important to understand and analyze how the scientific community has used it. Thus, opening up space for new research and opportunities in medicine. The objective of this study is to review the literature on machine learning applications in the medical sector. Therefore, we conducted an extensive research by reviewing recent studies and surveys on machine-learning health solutions. As a result, we offer, in this paper, a fresh study affirming the foundations and necessities of a machine learning application in the medical field. We also provide a breakdown of current research trends, which highlights future research opportunities. |
| URI/URL: | 10.1109/DASA59624.2023.10286546
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/12915
https://ieeexplore.ieee.org/document/10286546 |
| ISBN: | 979-835034205-5 |
| Collection(s) : | Communications Internationales
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