Data mining is a valuable technique for identifying new patterns in healthcare organisations. 
Data mining is important in predicting and diagnosing various disorders in the health care 
business. It employs several ways to uncover hidden patterns, and these patterns can be utilised 
by physicians to assess the efficacy of medical treatments. the IoT medical sensors produce large 
amount of data at an amazing speed. Access to medical data is difficult due to confidentiality of 
patients' records and the importance of critical individual information. However, the huge 
amount of hospital and clinical data has a great potential for discovering relations and hidden 
patterns. The current paper investigates the utility of several data‑mining methods in the 
healthcare sector and emphasises various applications in healthcare. The primary goal of this 
research will be to conduct a survey of existing data mining techniques utilised in the healthcare 
sector