Abstract
We propose a collaborative filtering recommender system to match patients with doctors in primary care. In particular, we model patient trust in primary care doctors using a large-scale dataset of consultation histories, and account for the temporal dynamics of their relationships, defined in a novel quantitative measure of patient-doctor trust. Our proposed approach shows higher predictive accuracy than a heuristic baseline, as well as a collaborative filtering approach without the trust measures.
Original language | English |
---|---|
Title of host publication | Proceedings - 2018 IEEE International Conference on Healthcare Informatics |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 377-379 |
Number of pages | 3 |
ISBN (Electronic) | 9781538653777 |
DOIs | |
Publication status | Published - 24 Jul 2018 |
Event | 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States Duration: 4 Jun 2018 → 7 Jun 2018 |
Conference
Conference | 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 |
---|---|
Country/Territory | United States |
City | New York |
Period | 4/06/18 → 7/06/18 |
Keywords
- Collaborative Filtering
- Patient Doctor Relationship
- Primary Care
- Recommender System
- Trust