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Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence
In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a leading role in the development of my country'...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481370/ https://www.ncbi.nlm.nih.gov/pubmed/36118826 http://dx.doi.org/10.1155/2022/4224287 |
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author | Zhang, Fang Zhang, Zhen Xiao, Hui |
author_facet | Zhang, Fang Zhang, Zhen Xiao, Hui |
author_sort | Zhang, Fang |
collection | PubMed |
description | In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a leading role in the development of my country's pharmaceutical industry, deepening the reform of the health system, improving the efficiency and quality of medical services, and developing new technologies. In this context, we make the following research and draw the following conclusions: (1) the scale of my country's medical big data market is constantly increasing, and the global medical big data market is also increasing. Compared with the global medical big data market, China's medical big data has grown at a faster rate. From the initial 10.33% in 2015, the proportion has reached 38.7% after 7 years, and the proportion has increased by 28.37%. (2) Generally speaking, urine is mainly slightly acidic, that is, the pH is around 6.0, the normal range is 5.0 to 7.0, and there are also neutral or slightly alkaline. 8 and 7.5 are generally people with some physical problems. In recent years, the pharmaceutical industry has continuously developed technologies such as big data, cloud computing, Internet+, and artificial intelligence by improving data transmission services. As an important strategic resource of the country, the generation of great medical skills and great information is of great significance to the development of my country's pharmaceutical industry and the deepening of the reform of the national medical system. Improve the efficiency and level of medical services, and establish forms and services. Accelerate economic growth. In this sense, we set out to explore. |
format | Online Article Text |
id | pubmed-9481370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94813702022-09-17 Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence Zhang, Fang Zhang, Zhen Xiao, Hui Comput Math Methods Med Research Article In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated the improvement of data communication services in the traditional pharmaceutical industry. It plays a leading role in the development of my country's pharmaceutical industry, deepening the reform of the health system, improving the efficiency and quality of medical services, and developing new technologies. In this context, we make the following research and draw the following conclusions: (1) the scale of my country's medical big data market is constantly increasing, and the global medical big data market is also increasing. Compared with the global medical big data market, China's medical big data has grown at a faster rate. From the initial 10.33% in 2015, the proportion has reached 38.7% after 7 years, and the proportion has increased by 28.37%. (2) Generally speaking, urine is mainly slightly acidic, that is, the pH is around 6.0, the normal range is 5.0 to 7.0, and there are also neutral or slightly alkaline. 8 and 7.5 are generally people with some physical problems. In recent years, the pharmaceutical industry has continuously developed technologies such as big data, cloud computing, Internet+, and artificial intelligence by improving data transmission services. As an important strategic resource of the country, the generation of great medical skills and great information is of great significance to the development of my country's pharmaceutical industry and the deepening of the reform of the national medical system. Improve the efficiency and level of medical services, and establish forms and services. Accelerate economic growth. In this sense, we set out to explore. Hindawi 2022-09-09 /pmc/articles/PMC9481370/ /pubmed/36118826 http://dx.doi.org/10.1155/2022/4224287 Text en Copyright © 2022 Fang Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Fang Zhang, Zhen Xiao, Hui Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence |
title | Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence |
title_full | Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence |
title_fullStr | Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence |
title_full_unstemmed | Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence |
title_short | Research on Medical Big Data Analysis and Disease Prediction Method Based on Artificial Intelligence |
title_sort | research on medical big data analysis and disease prediction method based on artificial intelligence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481370/ https://www.ncbi.nlm.nih.gov/pubmed/36118826 http://dx.doi.org/10.1155/2022/4224287 |
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