A research on modeling Diabetes Disease Progression based on Causal Chain Ontology

2014 Fiscal Year Final Research Report

• Project/Area Number: 23790561
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Medical sociology
• Research Institution: The University of Tokyo
• Principal Investigator: IMAI Takeshi 東京大学, 医学(系)研究科(研究院), 講師 (90401075)
• Research Collaborator: OHE Kazuhiko 東京大学, 大学院医学系研究科, 教授 ; WAKI Kayo 東京大学, 大学院医学系研究科, 特任准教授
• Project Period (FY): 2011-04-28 – 2015-03-31
• Keywords: オントロジー / 糖尿病 / 病態遷移予測

Outline of Final Research Achievements

This study aimed to model diabetes disease progression for predicting future risks of diabetes complications. We first built a diabetes disease progression ontology which represent causal chains of abnormal states, and mapped patient's clinical status to the ontology in chronological order. Then we constructed the diabetes disease progression model to predict the length of transition to diabetic macroangiopathy and microangiopathy based on patient's status (e.g. HbA1c, smoking status, family history, hypertension, hyperlipidemia) and multiple regression model.

Free Research Field

医療情報学