Clinical Feature Engineering and Outcome Prediction in Electronic Health Records: Machine Learning Approaches to Enhanced Predictive Analytics in Healthcare
Keywords:
clinical feature engineering, outcome prediction, electronic health records, machine learning approaches to enhanced predictive analytics, healthcareAbstract
The article is devoted to the application of models of machine learning and artificial intelligence for data analysis of medical information and the definition of the state of the human body. Many questions that are directly or indirectly connected with healthcare deserve special attention. These include the problems of diagnostics of diseases and anomalies, methods for predicting the course of complex diseases, as well as tasks aimed at determining optimal treatment strategies.Downloads
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