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MURAGAKI Yoshihiro
Department School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine Position Visiting Professor |
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| Article types | Original article |
| Language | English |
| Peer review | Peer reviewed |
| Title | Machine-Learning Approach for Modeling Myelosuppression Attributed to Nimustine Hydrochloride |
| Journal | Formal name：JCO Clin Cancer Inform. |
| Domestic / Foregin | Foregin |
| Volume, Issue, Page | (2),pp.e1-e21 |
| Author and coauthor | SHIBAHARA Takuma†, IKUTA Soko, MURAGAKI Yoshihiro |
| Publication date | 2018/12 |
| Summary | Abstract
PURPOSE: 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. |
| DOI | 10.1200/CCI.17.00022 |
| PMID | 30652567 |