Predicting Ventilator Modes To maintain Blood Oxygen Saturation of Post Surgical Patients Within Desired Limit Using Weighted KNN Classification Algorithm

Maintaining blood oxygen saturation is very critical in medical field. Adequate amount of inspired oxygen is delivered to patient using mechanical ventilator by varying its variety of modes to get required blood oxygen level. Usually clinician with less engineering background is switching the ventilator modes. Real time switching of modes is an ever interesting area of researchers. This paper uses Weighted KNN classification algorithm in machine learning to predict the ventilator mode changes of post operated patients during weaning process by analysing real time patient data.