J-GLOBAL ID:201701015391402220
Update date: Aug. 07, 2023
Matsuda Shinichi
マツダ シンイチ | Matsuda Shinichi
Research field (1):
Healthcare management, medical sociology
Papers (8):
Shinichi Matsuda, Takumi Ohtomo, Shiho Tomizawa, Yuki Miyano, Miwako Mogi, Hiroshi Kuriki, Terumi Nakayama, Shinichi Watanabe. Incorporating Unstructured Patient Narratives and Health Insurance Claims Data in Pharmacovigilance: Natural Language Processing Analysis of Patient-Generated Texts About Systemic Lupus Erythematosus. JMIR public health and surveillance. 2021. 7. 6. e29238
Shinichi MATSUDA, Nobuyuki FUKADA, Masahito OISHI, Hiroaki OKA, Ryousuke HARA, Ai KOJIMA, Shun NAKANO, Katsuaki MOTOYOSHI, Shigeki IGARASHI, Yuko SASAKI, et al. Recommendations for Conducting Post-Marketing Database Study in Japan Based on the Critical Appraisal of Published Articles from Overseas Real-World Data (RWD) Analyses. Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku. 2021
Shinichi Matsuda, Aki Mafune, Nagisa Kohda, Takanori Hama, Mitsuyoshi Urashima. Associations among smoking, MGMT hypermethylation, TP53-mutations, and relapse in head and neck squamous cell carcinoma. PLoS ONE. 2020. 15. 4. e0231932
Shinichi Matsuda, Kotonari Aoki, Shiho Tomizawa, Masayoshi Sone, Riwa Tanaka, Hiroshi Kuriki, Yoichiro Takahashi. Analysis of Patient Narratives in Disease Blogs on the Internet: An Exploratory Study of Social Pharmacovigilance. JMIR Public Health Surveill. 2017. 3. 1. e10
Pharmacovigilance Critique and Ways Forward
Jiho 2018
Lectures and oral presentations (23):
Observational studies, database studies (Conducting and Reporting)
(PMRJ, Seminar for MA Experts 2020)
Observational studies and database studies (Planning)
(PMRJ, Seminar for MA Experts 2020)
Application of Natural Language Processing Techniques to Extract Insights for Pharmacovigilance From Published Literatures
(35th International Conference on Pharmacoepidemiology and Therapeutic Risk Management 2019)
Introduction of Epidemiology (Observational studies, database studies)
(PMRJ, Seminar for MA Experts 2019)