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Assessment of Decision Models for Hybrid Approaches.

A wide range of Clinical Decision Support Systems (CDSS) have been developed. These CDSS are based on decision models, which normally have a knowledge- or data-driven approach. In this work a structured development of potential hybrid approaches was realized by the assessment of decision models and...

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Published in:Studies in Health Technology & Informatics Vol. 255; pp. 180 - 185
Main Authors: HECHTE, Nicole, WULFF, Antje, MARSCHOLLEK, Michael
Format: research tables/charts Journal Article
Published: Sage Publications Inc. 2018
Online Access:View this record in EBSCOhost
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        09269630
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      jtl: Studies in Health Technology & Informatics
      issn: 09269630
      maglogo: N
    pubinfo:
      dt: 2018
      vid: 255
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        132453509
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        10.3233/978-1-61499-921-8-180
        132453509
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        atl: Assessment of Decision Models for Hybrid Approaches.
      aug:
        au:
          HECHTE, Nicole
          WULFF, Antje
          MARSCHOLLEK, Michael
        affil: Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig - Institute of Technology and Hannover Medical School, Hannover, Germany
      sug:
        subj:
          Decision Support Systems, Clinical
          Decision Support Techniques Evaluation
          Human
          Machine Learning
          Database Management Software
          Interviews
      ab: A wide range of Clinical Decision Support Systems (CDSS) have been developed. These CDSS are based on decision models, which normally have a knowledge- or data-driven approach. In this work a structured development of potential hybrid approaches was realized by the assessment of decision models and identification of their advantages and disadvantages. For the assessment of different decision models, eight criteria were identified and three of them were chosen as main criteria for CDSS: transparency, learning aptitude and handling of uncertain and vague knowledge. The comparison of decision models in regard to the developed main criteria resulted in an identification of three groups of models with similar characteristics. Based on these groups hybrid approaches had been developed, so that different decision models could be combined in a beneficial way. Thereby this work provides an instrument for a structured development of hybrid decision models.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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