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Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning
This article analyzes the application process of data mining technology in the medical and health management system and uses machine learning algorithms to design a medical and health data mining system. The system collects patient's physical health data based on wireless sensing technology and...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626197/ https://www.ncbi.nlm.nih.gov/pubmed/34840702 http://dx.doi.org/10.1155/2021/7011205 |
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author | Wang, Pengyuan Li, Jie |
author_facet | Wang, Pengyuan Li, Jie |
author_sort | Wang, Pengyuan |
collection | PubMed |
description | This article analyzes the application process of data mining technology in the medical and health management system and uses machine learning algorithms to design a medical and health data mining system. The system collects patient's physical health data based on wireless sensing technology and uses machine learning algorithms to analyze the data. The system uploads the collected health data to the system for cluster analysis. Finally, the method is applied to the diagnosis data mining of patients, so as to prove the effectiveness of the classification method in the medical field through examples. |
format | Online Article Text |
id | pubmed-8626197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-86261972021-11-27 Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning Wang, Pengyuan Li, Jie J Healthc Eng Research Article This article analyzes the application process of data mining technology in the medical and health management system and uses machine learning algorithms to design a medical and health data mining system. The system collects patient's physical health data based on wireless sensing technology and uses machine learning algorithms to analyze the data. The system uploads the collected health data to the system for cluster analysis. Finally, the method is applied to the diagnosis data mining of patients, so as to prove the effectiveness of the classification method in the medical field through examples. Hindawi 2021-11-19 /pmc/articles/PMC8626197/ /pubmed/34840702 http://dx.doi.org/10.1155/2021/7011205 Text en Copyright © 2021 Pengyuan Wang and Jie Li. 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 Wang, Pengyuan Li, Jie Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning |
title | Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning |
title_full | Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning |
title_fullStr | Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning |
title_full_unstemmed | Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning |
title_short | Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning |
title_sort | implementation of real-time medical and health data mining system based on machine learning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626197/ https://www.ncbi.nlm.nih.gov/pubmed/34840702 http://dx.doi.org/10.1155/2021/7011205 |
work_keys_str_mv | AT wangpengyuan implementationofrealtimemedicalandhealthdataminingsystembasedonmachinelearning AT lijie implementationofrealtimemedicalandhealthdataminingsystembasedonmachinelearning |