Graduate School of Information Sciences
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Development of new software enabling automatic identification of the optimal anatomical liver resectable region, incorporating preoperative liver function.
Oncology letters Dec, 2019 | Pubmed ID: 31788120
Importance of socioeconomic factors in predicting tooth loss among older adults in Japan: Evidence from a machine learning analysis.
Social science & medicine (1982) Dec, 2021 | Pubmed ID: 34700121
Supervised machine learning algorithm identified KRT20, BATF and TP63 as biologically relevant biomarkers for bladder biopsy specimens from interstitial cystitis/bladder pain syndrome patients.
International journal of urology : official journal of the Japanese Urological Association May, 2022 | Pubmed ID: 35102612
An Interpretable Machine Learning Approach to Predict Fall Risk Among Community-Dwelling Older Adults: a Three-Year Longitudinal Study.
Journal of general internal medicine Aug, 2022 | Pubmed ID: 35112279
Model-free idealization: Adaptive integrated approach for idealization of ion-channel currents.
Biophysical journal Aug, 2023 | Pubmed ID: 37634080
Mayuko Yoda1,2,
Yoshimasa Kamei3,
Hayato Sakurai4,
Hiroko Kakei4,
Ting Tao1,2,4,
Hideo Yamanouchi4,
Tetsuya Kunikata4,
Masanori Hariyama5,
Ricki Colman6,
Mamiko Koshiba1,4,5
1Graduate School of Sciences and Technology for Innovation, Yamaguchi University,
2Faculty of Health Sciences and Nursing, Juntendo University,
3Obstetrician, Medical Department, Saitama Medical University,
4Department of Pediatrics, Saitama Medical University,
5Graduate School of Information Sciences, Tohoku University,
6Department of Cell and Regenerative Biology and Wisconsin National Primate Research Center, University of Wisconsin, Madison
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