所属 研究施設 研究施設 職種 教授
|表題||Machine-Learning Approach for Modeling Myelosuppression Attributed to Nimustine Hydrochloride|
|掲載誌名||正式名：JCO Clin Cancer Inform.|
|著者・共著者||SHIBAHARA Takuma†, IKUTA Soko, MURAGAKI Yoshihiro|
A major adverse effect arising from nimustine hydrochloride (ACNU) therapy for brain tumors is myelosuppression. Because its timing and severity vary among individual patients, the ACNU dose level has been adjusted in an empiric manner at individual medical facilities. To our knowledge, ours is the first study to develop a machine-learning approach to estimate myelosuppression through analysis of patient factors before treatment and attempts to clarify the relationship between myelosuppression and hematopoietic stem cells from daily clinical data. Adverse effect prediction will allow ACNU dose adjustment for patients predicted to have decreases in blood cell counts and will enable focused follow-up of patients undergoing chemoradiotherapy.