@inproceedings{e5fc427a06f04c75a27753b4947356e1,
title = "A hybrid recommender system for patient-doctor matchmaking in primary care",
abstract = "We partner with a leading European healthcare provider and design a mechanism to match patients with family doctors in primary care. We define the matchmaking process for several distinct use cases given different levels of available information about patients. Then, we adopt a hybrid recommender system to present each patient a list of family doctor recommendations. In particular, we model patient trust of family doctors using a large-scale dataset of consultation histories, while accounting for the temporal dynamics of their relationships. Our proposed approach shows higher predictive accuracy than both a heuristic baseline and a collaborative filtering approach, and the proposed trust measure further improves model performance.",
keywords = "Hybrid Recommender Systems, Patient Doctor Relationship, Primary Care, Trust",
author = "Qiwei Han and Mengxin Ji and {Martinez De Rituerto De Troya}, Inigo and Manas Gaur and Leid Zejnilovic",
year = "2019",
doi = "10.1109/DSAA.2018.00062",
language = "English",
series = "Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "481--490",
editor = "Francesco Bonchi and Foster Provost and Tina Eliassi-Rad and Wei Wang and Ciro Cattuto and Rayid Ghani",
booktitle = "Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018",
address = "United States",
note = "5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018 ; Conference date: 01-10-2018 Through 04-10-2018",
}