Research theme for competitive and other funds (2):
2020 - 2024 The method to determine the probability of disease severity by bayesian statistical analysis in a small number of patient data.
2016 - 2020 A study of clinical practice patters of inpatients with hemodialysis
Papers (47):
Jun Okita, Takeshi Nakata, Hiroki Uchida, Akiko Kudo, Akihiro Fukuda, Tamio Ueno, Masato Tanigawa, Noboru Sato, Hirotaka Shibata. Development and validation of a machine learning model to predict time to renal replacement therapy in patients with chronic kidney disease. BMC nephrology. 2024. 25. 1. 101-101
Takeshi Nakata, Masato Tanigawa, Akihiro Fukuda, Hirotaka Shibata. Histological classification of Japanese IgA nephropathy with a small number of glomeruli using Bayes' theorem. Scientific reports. 2023. 13. 1. 18663-18663
JAPANESE SOCIETY FOR ARTIFICIAL ORGANS
, THE JAPANESE SOCIETY OF INTERNAL MEDICINE
, Japanese Society for Dialysis Therapy
, JAPANESE SOCIETY OF NEPHROLOGY