The invention discloses a method for predicting a health state through physical examination indexes based on machine learning, and the method comprises: predicting the health state of a sampling sample through the physical examination indexes through a random forest algorithm, carrying out sampling of a randomly used sample through a down-sampling strategy for a health state sample and an unhealth state sample, obtaining a sampling sample, and, by adopting a random undersampling method, balancing data by randomly selecting a data subset of a target class. The method provided by the invention has good prediction performance, can help to predict the real condition of a patient with worsened condition, identifies a 'high-risk' patient, and provides most relevant subsequent examination for an affected individual.
Method for predicting health state through physical examination indexes based on machine learning