Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6853287 | Artificial Intelligence in Medicine | 2018 | 10 Pages |
Abstract
We successfully built a generic model suitable for all infectious diseases and patient profiles. This model includes both preferences and necessary features. It allowed the detection of 106 candidate inconsistencies which were analyzed by a medical expert. 55 inconsistencies were validated. We showed that therapeutic strategies of guidelines in antibiotherapy can be formalized by a preference model. In conclusion, we proposed an original approach, based on preferences, for modeling clinical guidelines. This model could be used in future clinical decision support systems for helping physicians to prescribe antibiotics.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Rosy Tsopra, Jean-Baptiste Lamy, Karima Sedki,