Cover Image
QR Code

Recommender system for health care analysis using machine learning technique: a review.

Recommender systems use different techniques of machine learning (ML) to suggest users and recommend service or entity in various field of application such as in health care recommender system (HRS). Due to the vast count of algorithms shown in the literature, HRS and various application sectors are...

Full description

Published in:Theoretical Issues in Ergonomics Science Vol. 23; no. 5; pp. 613 - 643
Main Authors: Shaikh, Salim G., Suresh Kumar, B., Narang, Geetika
Format: review tables/charts Journal Article
Published: Taylor & Francis Ltd Sep2022
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158860099&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 158860099
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        1463922X
        BDX
      jtl: Theoretical Issues in Ergonomics Science
      issn: 1463922X
      maglogo: Y
    pubinfo:
      dt: Sep2022
      vid: 23
      iid: 5
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        158860099
        156432787
        158860099
        158860099
        10.1080/1463922X.2022.2061078
        158860099
      ppf: 613
      ppct: 30
      formats:
      tig:
        atl: Recommender system for health care analysis using machine learning technique: a review.
      aug:
        au:
          Shaikh, Salim G.
          Suresh Kumar, B.
          Narang, Geetika
        affil: Amity School of Engineering and Technology, Amity University Jaipur, Jaipur, India
      sug:
        subj:
          Machine Learning
          Decision Support Systems, Clinical
          Algorithms
          Deep Learning
          Neural Networks (Computer)
      ab: Recommender systems use different techniques of machine learning (ML) to suggest users and recommend service or entity in various field of application such as in health care recommender system (HRS). Due to the vast count of algorithms shown in the literature, HRS and various application sectors are now utilizing ML algorithms from the area of artificial intelligence. However, selecting an appropriate ML algorithm in the case of a health recommender system seems to be a time-consuming task. However the development of recommender system in different service domain faces problems of algorithms selection for better accuracy. This article examined the usage of ML techniques in recommender systems for health applications through a survey of the literature. The objectives of this article are (i) recognize the literature review finding of recommender system in health applications using ML and deep learning algorithms. (ii) Assist new researchers with the help of gap in previous research. The results of this study is to proposed new recommender system in health application of mosquito borne disease by using hybrid approach of ML technique.
      pubtype: Academic Journal
      doctype:
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N