Applying data envelopment analysis to preventive medicine: a novel method for constructing a personalized risk model

2016 Fiscal Year Final Research Report

• Project/Area Number: 25560363
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Applied health science
• Research Institution: Kanagawa Cancer Center Research Institute (2015-2016); Yamagata University (2013-2014)
• Principal Investigator: Narimatsu Hiroto 地方独立行政法人神奈川県立病院機構神奈川県立がんセンター(臨床研究所), その他部局等, 部長 (50524419)
• Research Collaborator: NAKAMURA Sho 山形大学, 医学部, 病院助教 (00740656)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: 個別化医療 / ゲノム / 肥満 / 経営工学

Outline of Final Research Achievements

Data envelopment analysis (DEA) is a method of operations research. DEA might be used to evaluate individuals’ susceptibility to obesity, which could help establish effective risk models for the onset of obesity. Using the coefficients for the participants’ single nucleotide polymorphisms, we then calculated their genetic predisposition score (GPS). To evaluate the effects of genetic factors and efficiency score calculated by DEA on body mass index (BMI), we used multiple linear regression analysis. Our results indicated that efficiency score has more impact on GPS. The feasibility of applying DEA to predict obesity was presented.

Free Research Field

予防医療