{"id":5583,"date":"2026-04-10T11:35:10","date_gmt":"2026-04-10T02:35:10","guid":{"rendered":"https:\/\/www.mdps.okayama-u.ac.jp\/en\/?page_id=5583"},"modified":"2026-04-10T11:35:10","modified_gmt":"2026-04-10T02:35:10","slug":"applied-health-informatics","status":"publish","type":"page","link":"https:\/\/www.mdps.okayama-u.ac.jp\/en\/research\/researchfield\/applied-health-informatics\/","title":{"rendered":"Applied Health Informatics"},"content":{"rendered":"<p><a href=\"http:\/\/www.mdps.okayama-u.ac.jp\/en\/wp-content\/uploads\/sites\/2\/2026\/04\/c1574b0fa5c140cc4d08672d69dac08b-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-5585\" src=\"http:\/\/www.mdps.okayama-u.ac.jp\/en\/wp-content\/uploads\/sites\/2\/2026\/04\/c1574b0fa5c140cc4d08672d69dac08b-1-1024x380.png\" alt=\"\" width=\"1024\" height=\"380\" srcset=\"https:\/\/www.mdps.okayama-u.ac.jp\/en\/wp-content\/uploads\/sites\/2\/2026\/04\/c1574b0fa5c140cc4d08672d69dac08b-1-1024x380.png 1024w, https:\/\/www.mdps.okayama-u.ac.jp\/en\/wp-content\/uploads\/sites\/2\/2026\/04\/c1574b0fa5c140cc4d08672d69dac08b-1-300x111.png 300w, https:\/\/www.mdps.okayama-u.ac.jp\/en\/wp-content\/uploads\/sites\/2\/2026\/04\/c1574b0fa5c140cc4d08672d69dac08b-1-768x285.png 768w, https:\/\/www.mdps.okayama-u.ac.jp\/en\/wp-content\/uploads\/sites\/2\/2026\/04\/c1574b0fa5c140cc4d08672d69dac08b-1.png 1462w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<h2>Professor: SEKI Tomohisa<\/h2>\n<p>We conduct research based on the analysis of real-world medical data, focusing on the development of disease risk prediction models using machine learning and artificial intelligence (AI), as well as the construction of clinical decision support systems. We also investigate the medical application and evaluation of large language models (LLMs). In addition, we are engaged in research aimed at leveraging real-world medical data and translating these findings into clinical practice.<\/p>\n<h3>Keywords<\/h3>\n<p>Medical real-world data, Predictive models, Machine learning, Large language models, AI fairness<\/p>\n<h3>Contact<\/h3>\n<p>Professor: SEKI Tomohisa<br \/>\nE-mail:tomohisaseki<img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-42 alignnone\" src=\"http:\/\/www.mdps.okayama-u.ac.jp\/en\/wp-content\/uploads\/sites\/2\/2021\/12\/at.png\" alt=\"\" width=\"15\" height=\"18\">okayama-u.ac.jp<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Professor: SEKI Tomohisa We conduct research based on the analysis of real-world medical data, focusing on the [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":3041,"menu_order":98,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5583","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - 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