EMR-Based Time Embedding Encode-Dense Network Model for Coronary Heart Disease Prediction

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Artificial Intelligence | 更新时间：2025-09-30

- EMR-Based Time Embedding Encode-Dense Network Model for Coronary Heart Disease Prediction
- “The latest research has found that the E-TEED-CHD model utilizes electronic medical record data to achieve early prediction of coronary heart disease, with an accuracy rate of up to 98.71%.”
- Software Guide Vol. 24, Issue 9, Pages: 48-54(2025)
- 作者机构：
  
  1.山东环球软件股份有限公司
  2.潍坊科技学院艺术学院，山东寿光 262700
  3.山东科技职业学院信息工程系，山东潍坊 261053
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.241496
  CLC： TP181
- Received：29 May 2024，
  
  Published：15 September 2025
- 稿件说明：
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陈艳章,韩文静,刘增光.基于电子病历时间嵌入的编码器稠密网络冠心病预测模型[J].软件导刊,2025,24(09):48-54.

CHEN Yanzhang,HAN Wenjing,LIU Zengguang.EMR-Based Time Embedding Encode-Dense Network Model for Coronary Heart Disease Prediction[J].Software Guide,2025,24(09):48-54.
陈艳章,韩文静,刘增光.基于电子病历时间嵌入的编码器稠密网络冠心病预测模型[J].软件导刊,2025,24(09):48-54. DOI： 10.11907/rjdk.241496.

CHEN Yanzhang,HAN Wenjing,LIU Zengguang.EMR-Based Time Embedding Encode-Dense Network Model for Coronary Heart Disease Prediction[J].Software Guide,2025,24(09):48-54. DOI： 10.11907/rjdk.241496.

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