248 related articles for article (PubMed ID: 26224335)
1. Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.
Wan H; Moens MF; Luyten W; Zhou X; Mei Q; Liu L; Tang J
J Am Med Inform Assoc; 2016 Mar; 23(2):356-65. PubMed ID: 26224335
[TBL] [Abstract][Full Text] [Related]
2. Integrative mining of traditional Chinese medicine literature and MEDLINE for functional gene networks.
Zhou X; Liu B; Wu Z; Feng Y
Artif Intell Med; 2007 Oct; 41(2):87-104. PubMed ID: 17804209
[TBL] [Abstract][Full Text] [Related]
3. A joint entity Relation Extraction method for document level Traditional Chinese Medicine texts.
Xu W; Wang L; Zhang M; Zhu J; Yan J; Wu Q
Artif Intell Med; 2024 Jun; 154():102915. PubMed ID: 38936309
[TBL] [Abstract][Full Text] [Related]
4. A study on pharmaceutical text relationship extraction based on heterogeneous graph neural networks.
Zou S; Liu Z; Wang K; Cao J; Liu S; Xiong W; Li S
Math Biosci Eng; 2024 Jan; 21(1):1489-1507. PubMed ID: 38303474
[TBL] [Abstract][Full Text] [Related]
5. TCMGeneDIT: a database for associated traditional Chinese medicine, gene and disease information using text mining.
Fang YC; Huang HC; Chen HH; Juan HF
BMC Complement Altern Med; 2008 Oct; 8():58. PubMed ID: 18854039
[TBL] [Abstract][Full Text] [Related]
6. Heterogeneous information network based clustering for precision traditional Chinese medicine.
Chen X; Ruan C; Zhang Y; Chen H
BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 6):264. PubMed ID: 31856802
[TBL] [Abstract][Full Text] [Related]
7. Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision.
Jia Q; Zhang D; Xu H; Xie Y
JMIR Med Inform; 2021 Jun; 9(6):e28219. PubMed ID: 34125076
[TBL] [Abstract][Full Text] [Related]
8. Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support.
Zhou X; Chen S; Liu B; Zhang R; Wang Y; Li P; Guo Y; Zhang H; Gao Z; Yan X
Artif Intell Med; 2010; 48(2-3):139-52. PubMed ID: 20122820
[TBL] [Abstract][Full Text] [Related]
9. HPE-GCN: Predicting efficacy of tonic formulae via graph convolutional networks integrating traditionally defined herbal properties.
Liu J; Huang Q; Yang X; Ding C
Methods; 2022 Aug; 204():101-109. PubMed ID: 35597515
[TBL] [Abstract][Full Text] [Related]
10. A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures.
Ma Y; Liu Y; Zhang D; Zhang J; Liu H; Xie Y
Comput Intell Neurosci; 2022; 2022():1495841. PubMed ID: 36248956
[TBL] [Abstract][Full Text] [Related]
11. SMRGAT: A traditional Chinese herb recommendation model based on a multi-graph residual attention network and semantic knowledge fusion.
Yang X; Ding C
J Ethnopharmacol; 2023 Oct; 315():116693. PubMed ID: 37257707
[TBL] [Abstract][Full Text] [Related]
12. Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes.
Sun Y; Zhao Z; Wang Z; He H; Guo F; Luo Y; Gao Q; Wei N; Liu J; Li GZ; Liu Z
Biomed Res Int; 2022; 2022():2146236. PubMed ID: 35299894
[TBL] [Abstract][Full Text] [Related]
13. Construction and Application of a Traditional Chinese Medicine Syndrome Differentiation Model for Dysmenorrhea Based on Machine Learning.
Zhang L; You J; Huang Y; Jing R; He Y; Wen Y; Zheng L; Zhao Y
Comb Chem High Throughput Screen; 2024 Feb; ():. PubMed ID: 38351686
[TBL] [Abstract][Full Text] [Related]
14. [Analysis of traditional Chinese medicine prescriptions based on support vector machine and analytic hierarchy process].
Jin ZL; Hu JX; Jin HW; Zhang LR; Liu ZM
Zhongguo Zhong Yao Za Zhi; 2018 Jul; 43(13):2817-2823. PubMed ID: 30111036
[TBL] [Abstract][Full Text] [Related]
15. A semi-supervised approach for extracting TCM clinical terms based on feature words.
Liu L; Wu X; Liu H; Cao X; Wang H; Zhou H; Xie Q
BMC Med Inform Decis Mak; 2020 Jul; 20(Suppl 3):118. PubMed ID: 32646408
[TBL] [Abstract][Full Text] [Related]
16. PresRecST: a novel herbal prescription recommendation algorithm for real-world patients with integration of syndrome differentiation and treatment planning.
Dong X; Zhao C; Song X; Zhang L; Liu Y; Wu J; Xu Y; Xu N; Liu J; Yu H; Yang K; Zhou X
J Am Med Inform Assoc; 2024 May; 31(6):1268-1279. PubMed ID: 38598532
[TBL] [Abstract][Full Text] [Related]
17. HHO optimized support vector machine classifier for traditional Chinese medicine syndrome differentiation of diabetic retinopathy.
Xiao L; Wang CW; Deng Y; Yang YJ; Lu J; Yan JF; Peng QH
Int J Ophthalmol; 2024; 17(6):991-1000. PubMed ID: 38895691
[TBL] [Abstract][Full Text] [Related]
18. An Improved Deep Learning Model: S-TextBLCNN for Traditional Chinese Medicine Formula Classification.
Cheng N; Chen Y; Gao W; Liu J; Huang Q; Yan C; Huang X; Ding C
Front Genet; 2021; 12():807825. PubMed ID: 35003231
[No Abstract] [Full Text] [Related]
19. FordNet: Recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule.
Zhou W; Yang K; Zeng J; Lai X; Wang X; Ji C; Li Y; Zhang P; Li S
Pharmacol Res; 2021 Nov; 173():105752. PubMed ID: 34481072
[TBL] [Abstract][Full Text] [Related]
20. New Algorithm of Traditional Chinese Medicine and Protection of Intangible Cultural Heritage Based on Big Data Deep Learning.
Li Y; Liu Y; Wen Y
Biomed Res Int; 2022; 2022():1645204. PubMed ID: 36277875
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
