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Digitalization is a bridge for TCM striding towards information age
ZHOU Xiaoqing
2022, 5(4): 353-353. DOI: 10.1016/j.dcmed.2022.12.001
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Quantum theory-based physical model of the human body in TCM
SONG Shuna, SHE Zhensu
2022, 5(4): 354-359. DOI: 10.1016/j.dcmed.2022.12.002
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A new interpretation of TCM pulse diagnosis based on quantum physical model of the human body
SONG Shuna, SHE Zhensu
2022, 5(4): 360-366. DOI: 10.1016/j.dcmed.2022.12.009
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Artificial intelligence and its application for cardiovascular diseases in Chinese medicine
CHEN Xiaotong, LEUNG Yeuk-Lan Alice, SHEN Jiangang
2022, 5(4): 367-376. DOI: 10.1016/j.dcmed.2022.12.003
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Data-driven based four examinations in TCM: a survey
SUI Dong, ZHANG Lei, YANG Fei
2022, 5(4): 377-385. DOI: 10.1016/j.dcmed.2022.12.004
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Research on knowledge reasoning of TCM based on knowledge graphs
GUO Zhiheng, LIU Qingping, ZOU Beiji
2022, 5(4): 386-393. DOI: 10.1016/j.dcmed.2022.12.005
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Construction and application of knowledge graph of Treatise on Febrile Diseases
LIU Dongbo, WEI Changfa, XIA Shuaishuai, YAN Junfeng
2022, 5(4): 394-405. DOI: 10.1016/j.dcmed.2022.12.006
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MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation
CUI Zhenchao, SONG Shujie, QI Jing
2022, 5(4): 406-418. DOI: 10.1016/j.dcmed.2022.12.008
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Heterogeneous graph construction and node representation learning method of Treatise on Febrile Diseases based on graph convolutional network
YAN Junfeng, WEN Zhihua, ZOU Beiji
2022, 5(4): 419-428. DOI: 10.1016/j.dcmed.2022.12.007
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