JSAI2020

Presentation information

Interactive Session

[4Rin1] Interactive 2

Fri. Jun 12, 2020 9:00 AM - 10:40 AM Room R01 (jsai2020online-2-33)

[4Rin1-58] Factor Analysis of NAFLD with Health Check Data based on BExSAM

〇Kohei Ouchi1, Koichi Fujiwara2, Kenichi Nishioji3, Manabu Kano1 (1.Kyoto University, 2.Nagoya University, 3.Kyoto Second Red Cross hospital)

Keywords:Non-alcoholic fatty liver disease, Health check data, Causal inference, BExSAM

NAFLD is a disease in which fatty liver disorder occur even without a history of excessive alcohol intake. Although a lot of studies wes conducted to identify the factors of the emergence and progress of NAFLD, few studies focused on causal relationships of test items of the electronic health record (EHR) data.
It's important to prevent the emergence and progress of NAFLD, but Cause of NAFLD is unclear.
Therefore, we clarify the factors which cause NAFLD by analyzing of EHR data of the Kyoto Second RedCross hospital. Considering the previous researchs, We analyze binary variables of the EHR data.
We use the new method we propose in order to estimate the causal relationship of binary variables.
As a result, intake of medicine of blood pressure is a cause of NAFLD for women. For men, on the other hand, weight change in a year, medical history of anemia, intake of medicine of blood pressure, intake of medicine of blood glucose, the habit of skipping breakfast, eating habit at night and medical history of cardiovascular are causes of NAFLD.

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