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Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence
Fang Zhang1, Zhen Zhang1, Hui Xiao1
1Information Center, Zhongnan Hospital of Wuhan University, Hubei, Wuhan 430071, China.
Computational and Mathematical Methods in Medicine
|September 19, 2022
Summary
China's medical big data market is rapidly expanding, outpacing global growth. This surge in data is crucial for advancing the pharmaceutical industry and improving healthcare services.
Area of Science:
- Pharmaceutical Industry
- Health Informatics
- Data Science
Background:
- Technological advancements like big data, cloud services, and artificial intelligence are transforming the pharmaceutical sector.
- These technologies enhance data communication services, driving innovation and efficiency in healthcare.
Purpose of the Study:
- To analyze the growth of China's medical big data market.
- To explore the significance of medical big data in the pharmaceutical industry and healthcare system reform.
- To investigate the role of emerging technologies in improving medical services.
Main Methods:
- Analysis of market scale and growth rates of the medical big data sector.
- Review of technological trends impacting the pharmaceutical industry.
- Examination of the relationship between data, technology, and healthcare service improvement.
Main Results:
- China's medical big data market has shown accelerated growth, increasing its global share significantly from 10.33% in 2015 to 38.7% seven years later.
- The study also touches upon general physiological data, noting typical urine pH ranges.
- The integration of big data and AI is vital for the pharmaceutical industry's development and healthcare system reform.
Conclusions:
- The rapid expansion of China's medical big data market presents significant opportunities for the pharmaceutical industry.
- Leveraging big data and advanced technologies is essential for enhancing medical service efficiency, quality, and driving economic growth.
- Continued research and development in health informatics are critical for future advancements.
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