2026-03-07T22:05:09Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00226680 2025-01-19T12:26:11Z 1164:5352:11207:11307

医療ビッグデータによる依存症の研究 Addiction Research with Medical Big Data 大原, 宙 吉永, 泰周 坂上, 竜資 小路, 純央 森川, 渚 野原, 夢 野原, 正一郎 福本, 義弘 石井, 一夫 Sora, Ohara Yasunopri, Yoshinaga Ryuji, Sakagami Yoshihisa, Syouji Nagisa, Morikawa Yume, Nohara Syouichirou, Nohaea Yoshihiro, Hukumoto Kazuo, Ishii 数理モデル化と問題解決2 In recent years, the medical big data consisting of electronic medical documents such as medical claims and medical checkup data has been accumulated in Japan. These data would be used for medical policy making, medical management, clinical research, and drug discovery. In this study, we examined the relationship between addiction and psychiatric disorders and between addiction and neuropsychiatric drugs using sampling datasets from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), which is medical big data provided by the Ministry of Health, Labor and Welfare. It was investigated that some patients with addictions, such as alcoholism and nicotine addiction, showed hign levels of concomitant of some neuropsychiatric disorders and noncommunicable diseases. In recent years, the medical big data consisting of electronic medical documents such as medical claims and medical checkup data has been accumulated in Japan. These data would be used for medical policy making, medical management, clinical research, and drug discovery. In this study, we examined the relationship between addiction and psychiatric disorders and between addiction and neuropsychiatric drugs using sampling datasets from the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), which is medical big data provided by the Ministry of Health, Labor and Welfare. It was investigated that some patients with addictions, such as alcoholism and nicotine addiction, showed hign levels of concomitant of some neuropsychiatric disorders and noncommunicable diseases. technical report 情報処理学会 2023-06-22 application/pdf 研究報告バイオ情報学（BIO） 25 2023-BIO-74 1 4 2188-8590 AA12055912 https://ipsj.ixsq.nii.ac.jp/record/226680/files/IPSJ-BIO23074025.pdf jpn