Masanori Hariyama

Supervised machine learning algorithm identified KRT20, BATF and TP63 as biologically relevant biomarkers for bladder biopsy specimens from interstitial cystitis/bladder pain syndrome patients

T. Yamanishi, Ken-Ichi Inoue, Tomohiko Kamasako, 2022, International journal of urology : official journal of the Japanese Urological Association.

An Interpretable Machine Learning Approach to Predict Fall Risk Among Community-Dwelling Older Adults: a Three-Year Longitudinal Study

K. Kondo, J. Aida, K. Osaka, 2022, Journal of General Internal Medicine.

Importance of socioeconomic factors in predicting tooth loss among older adults in Japan: Evidence from a machine learning analysis.

G. Tsakos, R. Watt, K. Kondo, 2021, Social science & medicine.