- Title
- EPICE an emotion fuzzy vectorial space for time modeling in medical decision
- Creator
- Colloc, Joël; Yameogo, Relwende A.; Summons, Peter F.; Shen, Ying; Park, Mira; Aronson, Janine E.
- Relation
- International Conference on Internet of Things and Machine Learning (IML 2017). IML '17: Proceedings of the 1st International Conference on the Internet of Things and Machine Learning (Liverpool, UK 17-18 October, 2017)
- Publisher Link
- http://dx.doi.org/10.1145/3109761.3109790
- Publisher
- Association for Computing Machine (ACM)
- Resource Type
- conference paper
- Date
- 2017
- Description
- EPICE is a decision support system in medicine several knowledge bases that must cooperate together. The model takes into account the emotions of the patient and the physician involved in the care relationship during the evolution of the disease of the patient. The knowledge of clinical pictures are depicted with an object oriented time clinical model while the care relationship : the emotions of the patient and the caregivers are based on a psychological model. Both models rely on a fuzzy vectorial space that avoids fuzzification and denazification steps of the rule-based approaches and allows time modeling. We propose a fuzzy vectorial space to model the emotion felt by the patient during his care course and the relationship with the caregivers.
- Subject
- computation theory; temporal logics; computing methodologies; applied computing; health informatics
- Identifier
- http://hdl.handle.net/1959.13/1389842
- Identifier
- uon:32935
- Identifier
- ISBN:9781450352437
- Language
- eng
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