Data Mining In Medical Analysis
Alt Text: Data Mining in Medical Analysis
Title: Data Mining in Medical Analysis
Caption: Exploring the role of data mining in enhancing medical analysis and healthcare efficiency.
Description: This article discusses the impact of data mining in medical analysis, highlighting its role in disease diagnosis, personalized treatments, and improved patient care through data-driven insights.
Keywords: Data Mining, Medical Analysis, Healthcare Insights, Disease Diagnosis, Predictive Analytics
International Journal of Engineering and Techniques – Volume 10 Issue 3, June 2024
Mrs. Sachithra N S1, Mrs. Nissana P S2
1Department of Computer Science, Arafa College of Arts and Science, Pezhakkappilly.
Email: nssachithra@gmail.com
2Department of Computer Science, Arafa College of Arts and Science, Pezhakkappilly.
Email: nissanaps1@gmail.com
Abstract
Data mining has proven to be a powerful tool in medical analysis, enabling healthcare professionals to gain actionable insights from vast data sets. This emerging field contributes to accurate disease diagnosis, personalized treatment plans, and improved patient outcomes. Data mining techniques help healthcare providers and researchers identify patterns, trends, and associations within large datasets, ultimately leading to better patient care, efficient resource management, and breakthrough discoveries.
Keywords
Data Mining, Medical Analysis, Healthcare Insights, Disease Diagnosis, Predictive Analytics
How to Cite
Sachithra, N.S., Nissana, P.S., “Data Mining in Medical Analysis,” International Journal of Engineering and Techniques, Volume 10, Issue 3, June 2024. ISSN 2395-1303
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