Cargando…

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'...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Fang, Zhang, Zhen, Xiao, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
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
_version_ 1784791250781601792
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
work_keys_str_mv AT zhangfang researchonmedicalbigdataanalysisanddiseasepredictionmethodbasedonartificialintelligence
AT zhangzhen researchonmedicalbigdataanalysisanddiseasepredictionmethodbasedonartificialintelligence
AT xiaohui researchonmedicalbigdataanalysisanddiseasepredictionmethodbasedonartificialintelligence