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

doi:10.1109/ICHI.2018.00062

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

NOVA School of Business and Economics (NOVA SBE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

20 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 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	https://doi.org/10.1109/ICHI.2018.00062
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

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10.1109/ICHI.2018.00062

Cite this

Han, Q., Troya, I. M. D. R. D., 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). Article 8419395 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICHI.2018.00062

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

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.",

keywords = "Collaborative Filtering, Patient Doctor Relationship, Primary Care, Recommender System, Trust",

author = "Qiwei Han and Troya, \{Inigo Martinez De Rituerto De\} and Mengxin Ji and Manas Gaur and Leid Zejnilovic",

year = "2018",

month = jul,

day = "24",

doi = "10.1109/ICHI.2018.00062",

language = "English",

pages = "377--379",

booktitle = "Proceedings - 2018 IEEE International Conference on Healthcare Informatics",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "6th IEEE International Conference on Healthcare Informatics, ICHI 2018 ; Conference date: 04-06-2018 Through 07-06-2018",

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Han, Q , Troya, IMDRD, 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., 8419395, Institute of Electrical and Electronics Engineers (IEEE), pp. 377-379, 6th IEEE International Conference on Healthcare Informatics, ICHI 2018, New York, United States, 4/06/18. https://doi.org/10.1109/ICHI.2018.00062

A collaborative filtering recommender system in primary care: towards a trusting patient-doctor relationship. / Han, Qiwei ; Troya, Inigo Martinez De Rituerto De; Ji, Mengxin et al.
Proceedings - 2018 IEEE International Conference on Healthcare Informatics. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 377-379 8419395.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - Patient Doctor Relationship

KW - Primary Care

KW - Recommender System

KW - Trust

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

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Keywords

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