Machine learning-based prediction models for accidental hypothermia patients.
Yohei OkadaTasuku MatsuyamaSachiko MoritaNaoki EharaNobuhiro MiyamaeTakaaki JoYasuyuki SumidaNobunaga OkadaMakoto WatanabeMasahiro NozawaAyumu TsuruokaYoshihiro FujimotoYoshiki OkumuraTetsuhisa KitamuraRyoji IidukaShigeru OhtsuruPublished in: Journal of intensive care (2021)
This multi-center retrospective cohort study indicated that machine learning-based prediction models could accurately predict in-hospital mortality in validation cohort among the accidental hypothermia patients. These models might be able to support physicians and patient's decision-making. However, the applicability to clinical settings, and the actual clinical utility is still unclear; thus, further prospective study is warranted to evaluate the clinical usefulness.