Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6890689 | Computer Methods and Programs in Biomedicine | 2018 | 35 Pages |
Abstract
Logistic regression and survival analysis have been traditionally the most widely used techniques for model building. Nevertheless, machine learning techniques are becoming increasingly popular in recent years. Recent comparative studies suggest that machine learning techniques can improve prediction ability over traditional statistical approaches. Regardless, the lack of an appropriate benchmark dataset of hospital readmissions makes a comparison of models' performance across different studies difficult.
Related Topics
Physical Sciences and Engineering
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Computer Science (General)
Authors
Arkaitz Artetxe, Andoni Beristain, Manuel GraƱa,