| Autor: |
Gardes, Joël, Maldivi, Christophe, Boisset, Denis, Aubourg, Timothée, Vuillerme, Nicolas, Demongeot, Jacques |
| Zdroj: |
Studies in Health Technology & Informatics; 2019, Vol. 264, p1464-1465, 2p, 2 Diagrams |
| Abstrakt: |
In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the general trend is to process data by displacing the barycenter of the information from hospital centered systems to the patient centered ones through his personal medical records. Today, the use of artificial intelligence for supporting this transition shows real limitations in its implementation in operational practice, both at the level of patient care, but also in the general daily life of the health professional, because of the medico-legal imperatives induced by the promises of the ‘5P medicine’. In this paper, we propose to fill this gap by introducing an original artificial intelligence platform, named Maxwell, which follows an unsupervised learning approach in line with the medico-legal imperatives of the ‘5P medicine’. We describe the functional platform characteristics and illustrate them by two examples of clustering in genomics and magnetic resonance imaging. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
