Cover Image
QR Code

A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care.

Recently, Artificial Intelligence (AI) has been used widely in medicine and health care sector. In machine learning, the classification or prediction is a major field of AI. Today, the study of existing predictive models based on machine learning methods is extremely active. Doctors need accurate pr...

Full description

Published in:Journal of Medical Systems Vol. 41; no. 4; pp. 1 - 11
Main Authors: Alanazi, Hamdan, Abdullah, Abdul, Qureshi, Kashif
Format: tables/charts Journal Article
Published: Springer Nature Apr2017
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121741867&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 121741867
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Apr2017
      vid: 41
      iid: 4
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        121741867
        121741867
        121741867
        10.1007/s10916-017-0715-6
        121741867
      ppf: 1
      ppct: 10
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care.
      aug:
        au:
          Alanazi, Hamdan
          Abdullah, Abdul
          Qureshi, Kashif
        affil: Faculty of Computing , Universiti Teknologi Malaysia , Johor Bahru Malaysia
      sug:
        subj:
          Forecasting
          Medical Care
          Artificial Intelligence
          Neural Networks (Computer)
          Decision Trees
          Algorithms
      ab: Recently, Artificial Intelligence (AI) has been used widely in medicine and health care sector. In machine learning, the classification or prediction is a major field of AI. Today, the study of existing predictive models based on machine learning methods is extremely active. Doctors need accurate predictions for the outcomes of their patients' diseases. In addition, for accurate predictions, timing is another significant factor that influences treatment decisions. In this paper, existing predictive models in medicine and health care have critically reviewed. Furthermore, the most famous machine learning methods have explained, and the confusion between a statistical approach and machine learning has clarified. A review of related literature reveals that the predictions of existing predictive models differ even when the same dataset is used. Therefore, existing predictive models are essential, and current methods must be improved.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N