Data analytics in health promotion: Health market segmentation and classification of total joint replacement surgery patients

作者：

Highlights：

• Healthcare delivery is moving rapidly towards customized, patient-centered care.

• Machine learning is used to segment and classify total joint replacement surgery patients.

• Classification models accurately predict the cluster assignment to new patients.

• Results provide insight into patient behaviors and attributes to improve health promotion.

• Helps clinicians, health marketers and patients move toward value-based healthcare.

摘要

•Healthcare delivery is moving rapidly towards customized, patient-centered care.•Machine learning is used to segment and classify total joint replacement surgery patients.•Classification models accurately predict the cluster assignment to new patients.•Results provide insight into patient behaviors and attributes to improve health promotion.•Helps clinicians, health marketers and patients move toward value-based healthcare.

论文关键词：Health market segmentation,Health promotion,Data analytics,Machine learning,Total joint arthroplasty,Value-based healthcare

论文评审过程：Received 22 December 2015, Revised 2 May 2016, Accepted 2 May 2016, Available online 6 May 2016, Version of Record 14 May 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.006