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Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence.

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Title: Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence.
Authors: Witteveen A; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS)., Nane GF; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS)., Vliegen IMH; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS)., Siesling S; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS)., IJzerman MJ; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS).
Source: Medical decision making : an international journal of the Society for Medical Decision Making [Med Decis Making] 2018 Oct; Vol. 38 (7), pp. 822-833. Date of Electronic Publication: 2018 Aug 22.
Publication Type: Comparative Study; Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 8109073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-681X (Electronic) Linking ISSN: 0272989X NLM ISO Abbreviation: Med Decis Making Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence.
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  Data: <searchLink fieldCode="AU" term="%22Witteveen+A%22">Witteveen A</searchLink>; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS).<br /><searchLink fieldCode="AU" term="%22Nane+GF%22">Nane GF</searchLink>; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS).<br /><searchLink fieldCode="AU" term="%22Vliegen+IMH%22">Vliegen IMH</searchLink>; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS).<br /><searchLink fieldCode="AU" term="%22Siesling+S%22">Siesling S</searchLink>; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS).<br /><searchLink fieldCode="AU" term="%22IJzerman+MJ%22">IJzerman MJ</searchLink>; Department of Health Technology and Services Research (HTSR), Technical Medical Centre, University of Twente, Enschede, the Netherlands (AW, SS, MJIJ).; Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Delft, the Netherlands (GFN).; Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, the Netherlands (IMHV).; Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands (SS).
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  Data: <searchLink fieldCode="JN" term="%228109073%22">Medical decision making : an international journal of the Society for Medical Decision Making</searchLink> [Med Decis Making] 2018 Oct; Vol. 38 (7), pp. 822-833. <i>Date of Electronic Publication: </i>2018 Aug 22.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Sage+Publications%22">Sage Publications </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8109073 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1552-681X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220272989X%22">0272989X </searchLink><i>NLM ISO Abbreviation: </i>Med Decis Making <i>Subsets: </i>MEDLINE
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        Value: 10.1177/0272989X18790963
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              Text: 2018 Oct
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