Prediction model for diabetes patients based on particle filter

2015 Fiscal Year Final Research Report

• Project/Area Number: 25870488
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Life / Health / Medical informatics; Medical sociology
• Research Institution: Kochi University
• Principal Investigator: Hatakeyama Yutaka 高知大学, 教育研究部医療学系連携医学部門, 准教授 (00376956)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 医療情報学

Outline of Final Research Achievements

An estimation process of the distribution of insulin variability for glucose values in Oral Glucose Tolerance Test (OGTT) was constructed with the previous mathematical model. The experiment result for the data in Kochi Medical School hospital showed that the estimated insulin distribution includes the true insulin values. From these results, the estimation process calculates the appropriate insulin values. Moreover, the estimated insulin distributions were different for normal patients, Impaired Glucose Tolerance patients, and diabetes patients, respectively. Therefore, the feature of the distribution show the possibility of glucose value prediction in long term.

Free Research Field

医療情報学