A Machine-learning Approach for the Development of a Novel Predictive Model for the Diagnosis of Hepatocellular Carcinomas.
- 3.7 Medicine, dentistry and pharmacy
Masaya Sato
University of Tokyo Hospital
Lecturer
The purpose of this project is to develop a framework for extracting a learning algorithm and a parameter for maximizing the prediction performance from a plurality of machine learning methods. A learning model for diagnosing the presence of liver cancer is constructed by performing machine learning vis-à-vis patient medical data (using this framework).
Related links
Research collaborators
Shimadzu Corporation
Related publications
Sato M et al. Machine-learning Approach for the Development of a Novel Predictive Model for the Diagnosis of Hepatocellular Carcinoma. Sci Rep. 2019; 9: 7704.https://doi.org/10.1038/s41598-019-44022-8.
Contact
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo
- Tel: 03-5800-8733
- Email: satoma-int[at]h.u-tokyo.ac.jp
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