A hybrid recommender system for patient-doctor matchmaking in primary care

Qiwei Han, Mengxin Ji, Inigo Martinez De Rituerto De Troya, Manas Gaur, Leid Zejnilovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018
EditorsTina Eliassi-Rad, Wei Wang, Ciro Cattuto, Foster Provost, Rayid Ghani, Francesco Bonchi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages481-490
Number of pages10
ISBN (Electronic)9781538650905
DOIs
Publication statusPublished - 31 Jan 2019
Event5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018 - Turin, Italy
Duration: 1 Oct 20184 Oct 2018

Conference

Conference5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018
CountryItaly
CityTurin
Period1/10/184/10/18

Keywords

  • Hybrid Recommender Systems
  • Patient Doctor Relationship
  • Primary Care
  • Trust

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  • Cite this

    Han, Q., Ji, M., Martinez De Rituerto De Troya, I., Gaur, M., & Zejnilovic, L. (2019). A hybrid recommender system for patient-doctor matchmaking in primary care. In T. Eliassi-Rad, W. Wang, C. Cattuto, F. Provost, R. Ghani, & F. Bonchi (Eds.), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018 (pp. 481-490). [8631410] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA.2018.00062