A Review on Data Mining Techniques and Their Applications in Medicine
- By Abrar Abu Hamdia1
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View Affiliations Hide Affiliations1 Department of Medical Laboratory Science, Faculty of Medicine and Health Sciences, An Najah National University, Nablus, Palestine
- Source: Advanced Computing Solutions for Healthcare , pp 30-42
- Publication Date: July 2025
- Language: English
A Review on Data Mining Techniques and Their Applications in Medicine, Page 1 of 1
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Data mining is a crucial aspect of the 21st century. Technological advancements and the exponential expansion of medical data have driven it. Medical data is mandatory for clinical judgment, scientific projects, and innovation. Datamining methods include descriptive and predictive techniques. They have been used to extract insights from massive, diverse, and erratic medical datasets. These methods have massive implementation; they enhance diagnosis accuracy and decrease diagnosis time. They also provide quantified temporal information on crucial medical behaviors, minimizing errors. They offer opportunities for healthcare transformation, improving the overall healthcare system and general health.
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