The Significance of Machine Learning in Healthcare Data Management

Abstract

Healthcare data management in machine Learning is the application of different machine learning techniques to analyse and interpret large amounts of healthcare data, including patient records, administrative data, clinical data, and much more. The history of machine learning, as well as some fundamental knowledge of these methods and the various roles they have played in healthcare data management, are briefly explored in this paper. The impact of machine learning on data collection, analysis, predictive modelling, decision-making procedures, and overall healthcare improvement is given special consideration. The healthcare sector has greatly benefited from machine learning since it can process a variety of datasets and provide early disease diagnosis, individualised treatment plans, disease prevention, and anomaly detection. To predict this disease, various supervised machine learning algorithms are used.