| Titre : |
The value of machine learning for healthcare professionals in making informed diagnostic and treatment decisions |
| Type de document : |
Mémoire |
| Auteurs : |
Victor TEZENAS DU MONTCEL, Auteur |
| Année de publication : |
2023 |
| Importance : |
31 p. |
| Note générale : |
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| Langues : |
Anglais (eng) |
| Mots-clés : |
Management
MATERIEL MEDICAL ET PARAMEDICAL SECTEUR ; INTELLIGENCE ARTIFICIELLE ; RELATIONS HOMME MACHINE
|
| Résumé : |
The healthcare field is facing unprecedented challenges, such as the increasing prevalence of chronic diseases, an aging population and the need to rationalize resources. In this context,
information and communication technologies (ICT) offer considerable potential to improve the quality and efficiency of healthcare. One of the most promising branches of ICT is machine learning, a method of artificial intelligence that allows machines to learn and adapt from data. The purpose of this literature review is to examine the usefulness of machine learning for healthcare professionals in making informed diagnostic and treatment decisions. We will explore the main techniques and applications of machine learning in healthcare, as well as the challenges and limitations associated with its use. Finally, we will present future perspectives and recommendations to foster the adoption and integration of machine learning into medical practices. |
| Programme : |
MSc Business Analytics |
| Permalink : |
https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=581945 |
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