MACHINE LEARNING IMPLEMENTATION FOR SMART HEALTH RECORDS: A DIGITAL CARRY CARD

Abstract

Machine learning is a high-level approach for any kinds of health care implementation in this real-world scenario. We need to implement machine learning methodologies to identify the best-predicted values related to the patients in their respected health condition and also need to analyze the previous health records. For that, we need to maintain a repository or the warehouse where we need to maintain digital data related to the patients and their treatment. For that in this article, we are proposing an application using which we can maintain the health records of the patients using a digital card which can be used only by the doctor, receptionist and the respected other departments in the hospital. We implemented this prediction methodology using the responsive web application and the remaining things like predictions and the statistical analysis with the advanced methodologies like machine learning and python. In this article, we impose some machine learning methodologies on our data and will find out the optimal solution for the process of treatment and the good maintenance of the digital records of the patients. The records we maintain will be in sequential order and there is a chance of modification of the data in further times on admin privileges. All these kind of information was stored in the form of application and we explained the procedure of machine learning usage in this application and the prediction models design and implementation.