This paper is in the following e-collection/theme issue:

Theme Issue 2024: Health Natural Language Processing and Applications with Large Language Models (5) Hypertension Prevention and Treatment (296) Decision Support for Health Professionals (1531) Electronic Health Records (1314) Machine Learning (2066) Natural Language Processing (909) Clinical Informatics (1316) Clinical Information and Decision Making (1908)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74170, first published .
Hypertension Medication Recommendation via Synergistic and Selective Modeling of Heterogeneous Medical Entities: Development and Evaluation Study of a New Model

Hypertension Medication Recommendation via Synergistic and Selective Modeling of Heterogeneous Medical Entities: Development and Evaluation Study of a New Model

Hypertension Medication Recommendation via Synergistic and Selective Modeling of Heterogeneous Medical Entities: Development and Evaluation Study of a New Model

Authors of this article:

Ke Zhang1 Author Orcid Image ;   Zhichang Zhang1 Author Orcid Image ;   Yali Liang1 Author Orcid Image ;   Wei Wang1 Author Orcid Image ;   Xia Wang2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ke Zhang   1 , MS ;   Zhichang Zhang   1 , PhD ;   Yali Liang   1 , MS ;   Wei Wang   1 , MS ;   Xia Wang   2 , BS

1 College of Computer Science and Engineering, Northwest Normal University, Lanzhou, China

2 Gansu Provincial Hospital, Lanzhou, China

Corresponding Author:

  • Zhichang Zhang, PhD
  • College of Computer Science and Engineering
  • Northwest Normal University
  • 967 Anning East Road
  • Lanzhou 730070
  • China
  • Phone: +86 13038769329
  • Email: zzc@nwnu.edu.cn