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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

19 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, ICHI 2018
PublisherIEEE
Pages377-379
Number of pages3
ISBN (Electronic)9781538653777
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States
Duration: 4 Jun 20187 Jun 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018

Conference

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

Keywords

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

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