Data Mining: A Medical Perspective
DOI:
https://doi.org/10.53553/JCH.v11i01.003Keywords:
Knowledge Discovery, Health Care Sector, Delivery of Health Care, Data MiningAbstract
Data mining is the process of identifying patterns, anomalies, and correlations in huge databases that may be used to forecast future trends. It is also known as data knowledge discovery (KDD).The future of healthcare may hinge on the use of data mining to improve public health while also lowering health-care costs, saving time, identifying treatment plans and best practises, measuring effectiveness, detecting fraudulent insurance and medical claims, and ultimately improving patient standards.Data mining is important in the healthcare sector because, as people's lives change, various diseases impact them, and there is a need to utilise an efficient technique to anticipate the disease in time so that suitable treatment may be delivered to the patient.The quantity &quality of many health care interventions are improved through results of data mining, such as advanced through medical model of health which focuses one radication of illness through diagnosis & effective treatment.
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