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. |
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| 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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