research-article

iDoctor

Authors:

Yong LiAuthors Info & Claims

Future Generation Computer Systems, Volume 66, Issue C

Pages 30 - 35

https://doi.org/10.1016/j.future.2015.12.001

Published: 01 January 2017 Publication History

Abstract

Nowadays, crowd-sourced review websites provide decision support for various aspects of daily life, including shopping, local services, healthcare, etc. However, one of the most important challenges for existing healthcare review websites is the lack of personalized and professionalized guidelines for users to choose medical services. In this paper, we develop a novel healthcare recommendation system called iDoctor, which is based on hybrid matrix factorization methods. iDoctor differs from previous work in the following aspects: (1) emotional offset of user reviews can be unveiled by sentiment analysis and be utilized to revise original user ratings; (2) user preference and doctor feature are extracted by Latent Dirichlet Allocation and incorporated into conventional matrix factorization. We compare iDoctor with previous healthcare recommendation methods using real datasets. The experimental results show that iDoctor provides a higher predication rating and increases the accuracy of healthcare recommendation significantly. We propose a topic model based approach to discover user preference distribution and doctor feature distribution.We propose an emotion-aware approach to identify emotional offset in user reviews via sentiment analysis.We incorporate topic model and emotional offset into the matrix factorization model.The experimental results show that the proposed model provides a high-performance healthcare recommendation.

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Cited By

Pan QZhang J(2024)DiagNCF: Diagnosis Neural Collaborative Filtering for Accurate Medical RecommendationAdvanced Intelligent Computing in Bioinformatics10.1007/978-981-97-5692-6_10(108-118)Online publication date: 5-Aug-2024
https://dl.acm.org/doi/10.1007/978-981-97-5692-6_10
Chen JLi X(2023)Doctors ranking through heterogeneous informationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119620219:COnline publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119620
Sakshi Kukreja V(2023)Recent trends in mathematical expressions recognitionExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.119028213:PBOnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.eswa.2022.119028
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Published In

cover image Future Generation Computer Systems

Future Generation Computer Systems Volume 66, Issue C

January 2017

48 pages

ISSN:0167-739X

Issue’s Table of Contents

Copyright © Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 January 2017

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Cited By

Pan QZhang J(2024)DiagNCF: Diagnosis Neural Collaborative Filtering for Accurate Medical RecommendationAdvanced Intelligent Computing in Bioinformatics10.1007/978-981-97-5692-6_10(108-118)Online publication date: 5-Aug-2024
https://dl.acm.org/doi/10.1007/978-981-97-5692-6_10
Chen JLi X(2023)Doctors ranking through heterogeneous informationExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119620219:COnline publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119620
Sakshi Kukreja V(2023)Recent trends in mathematical expressions recognitionExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.119028213:PBOnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.eswa.2022.119028
George GLal A(2022)Hy-MOMCybernetics and Information Technologies10.2478/cait-2022-000922:1(134-150)Online publication date: 10-Apr-2022
https://dl.acm.org/doi/10.2478/cait-2022-0009
Roy SMukherjee ADe D(2022)OrangeMusicInternet Technology Letters10.1002/itl2.3315:3Online publication date: 27-Apr-2022
Zhou QSu LWu LJiang D(2021)Deep Personalized Medical Recommendations Based on the Integration of Rating Features and Review Sentiment AnalysisWireless Communications & Mobile Computing10.1155/2021/55513182021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/5551318
Gu ZZhang Y(2021)Research on online medical community doctor recommendation based on information fusionIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3498851.3499008(514-519)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3498851.3499008
Desolda GFerro LMarrella ACatarci TCostabile M(2021)Human Factors in Phishing Attacks: A Systematic Literature ReviewACM Computing Surveys10.1145/346988654:8(1-35)Online publication date: 4-Oct-2021
https://dl.acm.org/doi/10.1145/3469886
Panchal ASingh R(2021)EOCGS: energy efficient optimum number of cluster head and grid head selection in wireless sensor networksTelecommunications Systems10.1007/s11235-021-00782-178:1(1-13)Online publication date: 1-Sep-2021
https://dl.acm.org/doi/10.1007/s11235-021-00782-1
Wang JCao JLi WWang S(2021)CANE: community-aware network embedding via adversarial trainingKnowledge and Information Systems10.1007/s10115-020-01521-963:2(411-438)Online publication date: 1-Feb-2021
https://dl.acm.org/doi/10.1007/s10115-020-01521-9
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