A collaborative filtering recommender system in primary care: towards a trusting patient-doctor relationship

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

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

4 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Healthcare Informatics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages377-379
Number of pages3
ISBN (Electronic)9781538653777
DOIs
Publication statusPublished - 24 Jul 2018
Event6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States
Duration: 4 Jun 20187 Jun 2018

Conference

Conference6th IEEE International Conference on Healthcare Informatics, ICHI 2018
CountryUnited States
CityNew York
Period4/06/187/06/18

Keywords

  • Collaborative Filtering
  • Patient Doctor Relationship
  • Primary Care
  • Recommender System
  • Trust

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  • Cite this

    Han, Q., Martinez De Rituerto De Troya, I., Ji, M., Gaur, M., & Zejnilovic, L. (2018). A collaborative filtering recommender system in primary care: towards a trusting patient-doctor relationship. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics (pp. 377-379). [8419395] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2018.00062