This disclosure relates to method and system determining a plurality of patient health indicators through a Machine Learning (ML) model (208). The method includes receiving (302) numerical data from a monitoring device. The numerical data is based on patient input data. The patient input data includes predefined variables, discretely sampled data, and continuously sampled data. The method further includes identifying (304) a set of patterns from the numerical data through the ML model (208). The ML model (208) is based on at least one of a Long Short Term Memory (LSTM), Extreme Gradient Boost (XGBoost), and Transformers. The method further includes comparing (306) the set of patterns with historical medical data of the patient. The method further includes determining (308) the plurality of patient health indicators through the ML model (208) based on the comparing (306).
SYSTEM AND METHOD FOR DETERMINING PATIENT HEALTH INDICATORS THROUGH MACHINE LEARNING MODEL