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

doi:10.1109/DSAA.2018.00062

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

NOVA School of Business and Economics (NOVA SBE)

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

43 Citations (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 language	English
Title of host publication	Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018
Editors	Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Foster Provost, Rayid Ghani, Francesco Bonchi
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	481-490
Number of pages	10
ISBN (Electronic)	9781538650905
DOIs	https://doi.org/10.1109/DSAA.2018.00062
Publication status	Published - 31 Jan 2019
Event	5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018 - Turin, Italy Duration: 1 Oct 2018 → 4 Oct 2018

Conference

Conference	5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018
Country/Territory	Italy
City	Turin
Period	1/10/18 → 4/10/18

Keywords

Hybrid Recommender Systems
Patient Doctor Relationship
Primary Care
Trust

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10.1109/DSAA.2018.00062

Cite this

Han, Q., Ji, M., Troya, I. M. D. R. D., 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). Article 8631410 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/DSAA.2018.00062

Han, Qiwei ; Ji, Mengxin ; Troya, Inigo Martinez De Rituerto De et al. / A hybrid recommender system for patient-doctor matchmaking in primary care. Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. editor / Tina Eliassi-Rad ; Wei Wang ; Ciro Cattuto ; Foster Provost ; Rayid Ghani ; Francesco Bonchi. Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 481-490

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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",

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booktitle = "Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018",

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Han, Q, Ji, M, Troya, IMDRD, 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., 8631410, Institute of Electrical and Electronics Engineers (IEEE), pp. 481-490, 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, 1/10/18. https://doi.org/10.1109/DSAA.2018.00062

A hybrid recommender system for patient-doctor matchmaking in primary care. / Han, Qiwei; Ji, Mengxin; Troya, Inigo Martinez De Rituerto De et al.
Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. ed. / Tina Eliassi-Rad; Wei Wang; Ciro Cattuto; Foster Provost; Rayid Ghani; Francesco Bonchi. Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 481-490 8631410.

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

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

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

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