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Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method.

Published in:Journal of Medical Systems Vol. 36; no. 5; pp. 3011 - 3019
Main Authors: Karabulut, Esra, İbrikçi, Turgay
Format: equations & formulas pictorial research tables/charts Journal Article
Published: Springer Nature Oct2012
Online Access:View this record in EBSCOhost
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      dt: Oct2012
      vid: 36
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      pub: Springer Nature
      place: New York, New York
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        atl: Effective Diagnosis of Coronary Artery Disease Using The Rotation Forest Ensemble Method.
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        au:
          Karabulut, Esra
          İbrikçi, Turgay
        affil: Vocational School of Higher Education, University of Gaziantep, 27300 Gaziantep Turkey
      sug:
        subj:
          Coronary Arteriosclerosis Diagnosis
          Algorithms Methods
          Diagnosis, Computer Assisted
          Human
          Medical Records
          Validity
          Decision Making, Clinical
          Neural Networks (Computer) Utilization
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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