Medical and Health Data Classification Method Based on Machine Learning
The information defined in medical health data is researched based on machine learning-related algorithms. Also, this paper used random forest and other related algorithms to perform health data training and fitting. Research shows that the algorithm proposed in the paper can improve the progress of...
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi Limited
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ed79638c371248e8ad07b0b8e1269c54 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:ed79638c371248e8ad07b0b8e1269c54 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:ed79638c371248e8ad07b0b8e1269c542021-11-29T00:56:59ZMedical and Health Data Classification Method Based on Machine Learning2040-230910.1155/2021/2722854https://doaj.org/article/ed79638c371248e8ad07b0b8e1269c542021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2722854https://doaj.org/toc/2040-2309The information defined in medical health data is researched based on machine learning-related algorithms. Also, this paper used random forest and other related algorithms to perform health data training and fitting. Research shows that the algorithm proposed in the paper can improve the progress of health data classification. The algorithm can provide technical support for the improvement of medical data classification.Yu ZengFuchao ChengHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine (General) R5-920 Medical technology R855-855.5 |
spellingShingle |
Medicine (General) R5-920 Medical technology R855-855.5 Yu Zeng Fuchao Cheng Medical and Health Data Classification Method Based on Machine Learning |
description |
The information defined in medical health data is researched based on machine learning-related algorithms. Also, this paper used random forest and other related algorithms to perform health data training and fitting. Research shows that the algorithm proposed in the paper can improve the progress of health data classification. The algorithm can provide technical support for the improvement of medical data classification. |
format |
article |
author |
Yu Zeng Fuchao Cheng |
author_facet |
Yu Zeng Fuchao Cheng |
author_sort |
Yu Zeng |
title |
Medical and Health Data Classification Method Based on Machine Learning |
title_short |
Medical and Health Data Classification Method Based on Machine Learning |
title_full |
Medical and Health Data Classification Method Based on Machine Learning |
title_fullStr |
Medical and Health Data Classification Method Based on Machine Learning |
title_full_unstemmed |
Medical and Health Data Classification Method Based on Machine Learning |
title_sort |
medical and health data classification method based on machine learning |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/ed79638c371248e8ad07b0b8e1269c54 |
work_keys_str_mv |
AT yuzeng medicalandhealthdataclassificationmethodbasedonmachinelearning AT fuchaocheng medicalandhealthdataclassificationmethodbasedonmachinelearning |
_version_ |
1718407683118202880 |