The Application of Data Mining in Medical Analysis Systems

The core technology of medical big data mining is the integration of artificial intelligence and machine learning technology, which explores the phenomena and essential laws of human life and diseases, and is often referred to as medical artificial intelligence. Machine learning belongs to the interdisciplinary field of computer science and statistics. With the rapid development of information technology, the medical field has accumulated a massive amount of data, including patients' medical records, examination results, treatment records, medication usage, etc. These data contain rich information, but traditional data analysis methods often struggle to fully exploit their value. The emergence of data mining technology has brought new opportunities for medical analysis systems. It can discover hidden patterns, trends, and correlations from massive data, providing strong support for medical decision-making, improving medical quality, optimizing resource allocation, and reducing medical costs.

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Published
2025-04-24
DOI
https://doi.org/10.1109/icccbda64898.2025.11030512
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94
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article

The Application of Data Mining in Medical Analysis Systems

Xiaofeng Yan, Jie Zhao
1 citations
Artificial Intelligence in Healthcare
2.94
article

The Application of Data Mining in Medical Analysis Systems

Xiaofeng Yan, Jie Zhao
article en
1 citations

Abstract

The core technology of medical big data mining is the integration of artificial intelligence and machine learning technology, which explores the phenomena and essential laws of human life and diseases, and is often referred to as medical artificial intelligence. Machine learning belongs to the interdisciplinary field of computer science and statistics. With the rapid development of information technology, the medical field has accumulated a massive amount of data, including patients' medical records, examination results, treatment records, medication usage, etc. These data contain rich information, but traditional data analysis methods often struggle to fully exploit their value. The emergence of data mining technology has brought new opportunities for medical analysis systems. It can discover hidden patterns, trends, and correlations from massive data, providing strong support for medical decision-making, improving medical quality, optimizing resource allocation, and reducing medical costs.

Chongqing Medical and Pharmaceutical College (CN)
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare
2.94
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The Application of Data Mining in Medical Analysis Systems — Xiaofeng Yan, Jie Zhao · (2025) | TGRS Research Map | TGRS