For the management of a hospital's administrative, financial, and clinical components, a system is essential in the healthcare sector. Thanks to developments in data mining in the biomedical and healthcare fields, accurate analysis of medical data support early sickness identification, patient treatment, and community services. The accuracy of the investigation degrades when the medical data is of low quality. Additionally, various localized illnesses manifest differently in different places, which may make predicting disease outbreaks more challenging. The suggested method includes machine learning approaches for accurate sickness incidence prediction in groups that are prone to illness.

Health Dataset Analysis, Machine learning, Health care Methodology, Disease Prediction, Health Care Service