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Review Papers | Health and Medical Sciences | India | Volume 11 Issue 11, November 2022 | Rating: 4.9 / 10
Data Mining in Healthcare: Current Applications and Issues
Parimal Bhakare | Dr. Shaini Suraj
Abstract: Data are estimations or perceptions that are gathered as a wellspring of information. There are a variety of data available with different ways to represent it. Exploration on huge shared clinical datasets and information driven examination are acquiring quick energy and give significant freedoms to improving wellbeing frameworks just as individual consideration. Such open data can help the healthcare individuals to understand the causes of the disease and ultimately the effects of their treatment. In recent times there have been many new innovations like data crowdsourcing, data inferences by patient observations and voluntary data donating individuals who share their data through smart health wearable and devices like mobile phones. All this data can change the fate of modern healthcare as it will ameliorate our knowledge of various diseases, thus helping in quick diagnosis and ultimately improving the standards of treatment and healthcare. Medical care is a multi - dimensional framework set up with the sole focus on the counteraction, analysis, and therapy of wellbeing related issues or impairments in individuals. Health Professionals (doctors, nurses, and patient caretakers), healthcare infrastructure (hospitals, clinics and medicinal storages for treatment and medicines) and a financing body supporting these two together constitute a healthcare system. It is necessary for each entity of this healthcare system to keep records such as patient?s medical history (right from disease detection to completion of treatment), clinical data (like imaging and laboratory tests), and much other data.
Keywords: Data mining, healthcare, record, health professional, disease
Edition: Volume 11 Issue 11, November 2022,
Pages: 1129 - 1131