A Survey on Digital Health Care Data Analysis Techniques for Developing Machine Learning Models

Data is expanding rapidly, driving advances in technology and algorithms. In healthcare and biomedicine, this growth enables early disease prediction, better patient care, and improved community services through Machine Learning and AI. Since disease patterns vary across regions, AI adoption has the potential to radically transform the entire healthcare industry. This paper has brief various models proposed by the researcher for disease detection. Techniques of machine learning for disease prediction was elaborate in the paper. Challenges of prediction models for accuracy was summarize in the work under different condition. Finally paper has brief some of major evaluation parameters of for comparing healthcare models.