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About Data Mining and Health
This document discusses the current applications of data mining in healthcare. It begins by providing historical examples of how epidemiologists like John Snow and Florence Nightingale analyzed health data to discover patterns and trends. Today, data mining is increasingly being used in healthcare to address issues like detecting disease outbreaks, reducing preventable hospital deaths, and finding fraudulent insurance claims. The document outlines several current applications of data mining, including analyzing healthcare centers to inform policy, early detection of heart disease and cancer trends, and aiding in pandemic detection and management. Overall, data mining provides benefits to evidence-based medicine, cost savings, and public health policy decisions.
Detailed Information
| Author: | ['Ruben Canlas Jr.'] |
|---|---|
| Publication Year: | 2010 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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