Cross-domain neural collaborative filtering for personalized herbal prescription recommendation

This study contributes to enhancing the performance of the HPR model, ultimately benefiting the efficiency and precision of clinical treatment.

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Publication Details

Journal
Chinese Medicine
Published
2026-01-28
DOI
https://doi.org/10.1186/s13020-025-01294-9
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Cross-domain neural collaborative filtering for personalized herbal prescription recommendation

L X Zhang, Xinyu Wang, Wansong ZHANG, Kun Yang et al.
Chinese Medicine
Traditional Chinese Medicine Studies
article

Cross-domain neural collaborative filtering for personalized herbal prescription recommendation

L X Zhang, Xinyu Wang, Wansong ZHANG, Kun Yang, G Ye, R. Stephanie Huang, Xuezhong Zho, Dejiang Ji, Xin Dong, Runshun Zhang, Juxian Tang
article en

Abstract

This study contributes to enhancing the performance of the HPR model, ultimately benefiting the efficiency and precision of clinical treatment.

Chinese MedicineVol. 21(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Jiaotong University (CN), Beijing Academy of Artificial Intelligence (CN), Ningxia Hui Autonomous Region Peoples Hospital (CN), Guang’anmen Hospital (CN), The Fourth People's Hospital of Ningxia Hui Autonomous Region (CN)
National Natural Science Foundation of China, China Academy of Chinese Medical Sciences, National Science and Technology Major Project, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 74%
Traditional Chinese Medicine Studies
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Cross-domain neural collaborative filtering for personalized herbal prescription recommendation — L X Zhang, Xinyu Wang, et al. · Chinese Medicine (2026) | TGRS Research Map | TGRS