An improved support vector machine-based diabetic readmission prediction

S Cui, D Wang, Y Wang, PW Yu, Y Jin - Computer methods and programs …, 2018 - Elsevier
Background and objective In healthcare systems, the cost of unplanned readmission
accounts for a large proportion of total hospital payment. Hospital-specific readmission rate …

An improved support vector machine-based diabetic readmission prediction

S Cui, D Wang, Y Wang, PW Yu… - Computer Methods and …, 2018 - pub.uni-bielefeld.de
Background and objective In healthcare systems, the cost of unplanned readmission
accounts for a large proportion of total hospital payment. Hospital-specific readmission rate …

An improved support vector machine-based diabetic readmission prediction

S Cui, D Wang, Y Wang, PW Yu… - … and programs in …, 2018 - openresearch.surrey.ac.uk
• Risk predictions of hospital readmission for diabetic patients are investigated.• A novel
method combining SVM and GA is developed to build the risk prediction model.• An effective …

An improved support vector machine-based diabetic readmission prediction.

S Cui, D Wang, Y Wang, PW Yu, Y Jin - Computer Methods and …, 2018 - europepmc.org
Method The experiments were conducted from a set of 8756 medical records with 50
different features about diabetic readmission. After preprocessing the data, an effective …

[PDF][PDF] An improved support vector machine-based diabetic readmission prediction

S Cui, D Wang, Y Wang, PW Yu… - Computer methods and …, 2018 - drive.google.com
abstract Background and objective: In healthcare systems, the cost of unplanned
readmission accounts for a large proportion of total hospital payment. Hospital-specific …

An improved support vector machine-based diabetic readmission prediction

S Cui, D Wang, Y Wang, PW Yu… - Computer methods and …, 2018 - pubmed.ncbi.nlm.nih.gov
Background and objective In healthcare systems, the cost of unplanned readmission
accounts for a large proportion of total hospital payment. Hospital-specific readmission rate …