Application of various machine learning techniques to predict obstructive sleep apnea syndrome severity

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  • who: Hyewon Han from the DepartmentHongik University have published the research work: Application of various machine learning techniques to predict obstructive sleep apnea syndrome severity, in the Journal: Scientific Reports Scientific Reports
  • what: In this study, the predictive models for the severity of OSAS were developed by applying various machine_learning methodologies. The applicability of the model was tested and analyzed according to the severity. The results of this work demonstrate the superiority of OSAS screening applicability using machine_learning methods. Due to the retrospective nature of the study, a considerable amount of data was unavailable for . . .

     

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