Applied Health Informatics

Professor: SEKI Tomohisa

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.

Keywords

Medical real-world data, Predictive models, Machine learning, Large language models, AI fairness

Contact

Professor: SEKI Tomohisa
E-mail:tomohisasekiokayama-u.ac.jp