Data Mining Applications in the Health Care Sector

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Published: Sep 2, 2024
DOI: https://doi.org/10.29070/byty8a26
Keywords:
data mining, health care sector, analytics, healthcare data, managing healthcare, new drugs, monitoring diseases, diagnosing patients, treating patients, patient data, clinical databases, genetic data, illness identification, treatment recommendations, resource allocation, pharmaceutical research, medication development process, healthcare operations, patient outcomes, costs

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Authors

Mehul Garg

Student, Class- 12th, St. George’s College, Mussoorie

Abstract

Data mining, which uses sophisticated analytics to glean insightful information from massiveand complicated healthcare data, is essential to the healthcare industry. Applications for managinghealthcare, finding new drugs, monitoring diseases, and diagnosing and treating patients are all included.Data mining algorithms may find patterns and trends in patient data, clinical databases, and genetic datathat help in early illness identification, individualized treatment recommendations, and efficient resourceallocation. Data mining also aids in pharmaceutical research, streamlines the medication developmentprocess, and enhances healthcare operations, eventually improving patient outcomes and loweringcosts.

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Article Details

Issue

Vol. 20 No. 2 (2023): Journal of Advances in Science and Technology (JAST)

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Articles

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