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医学档案数据智能化挖掘和提取的人工智能机器学习模型设计研究

董婉婷

数码设计Issue(23):80-82,3.
数码设计Issue(23):80-82,3.

医学档案数据智能化挖掘和提取的人工智能机器学习模型设计研究

Research on Artificial Intelligence Machine Learning Model Design for Intelligent Mining and Extraction of Medical Archival Data

董婉婷1

作者信息

  • 1. 山东省济宁市第一人民医院,山东 济宁 272000
  • 折叠

摘要

Abstract

Nowadays,with the rapid development of medical technology and the explosive growth of medical data,artificial intelligence machine learning models can automate the processing and analysis of medical files,quickly process large amounts of data,improve the efficiency of data mining and extraction,and reduce manual intervention and error rates.To this end,the design of AI machine learning models to automate and efficiently mine and extract medical archive data was explored to improve the efficiency and accuracy of data processing in order to increase the utilization of medical archive data in the operation of the healthcare system.

关键词

医学档案/数据挖掘/人工智能/机器学习算法

Key words

medical archives/data mining/artificial intelligence/machine learning algorithms

分类

信息技术与安全科学

引用本文复制引用

董婉婷..医学档案数据智能化挖掘和提取的人工智能机器学习模型设计研究[J].数码设计,2024,(23):80-82,3.

数码设计

1672-9129

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