Search Results - "Yang, Huanwan"

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  1. 1

    Risk factors for repeat percutaneous coronary intervention in young patients (≤45 years of age) with acute coronary syndrome by Han, Tianwen, Wang, Qun, Yang, Huanwan, Zhou, Shanshan, Wang, Jing, Jing, Jing, Zhang, Tao, Liu, Yuqi, Chen, Yundai

    Published in PeerJ (San Francisco, CA) (26-04-2019)
    “…The incidences of premature coronary heart disease present a rising trend worldwide. The possible risk factors that may predict the incidence of repeat…”
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    Journal Article
  2. 2

    A unified framework of medical information annotation and extraction for Chinese clinical text by Zhu, Enwei, Sheng, Qilin, Yang, Huanwan, Liu, Yiyang, Cai, Ting, Li, Jinpeng

    Published in Artificial intelligence in medicine (01-08-2023)
    “…Medical information extraction consists of a group of natural language processing (NLP) tasks, which collaboratively convert clinical text to pre-defined…”
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    Journal Article
  3. 3

    Mitochondrial outer membrane voltage-dependent anion channel is involved in renal dysfunction in a spontaneously hypertensive rat carrying transfer RNA mutations by Zhu, Chao, Tian, Liuyang, Yang, Huanwan, Chen, Pu, Li, Yang, Liu, Yuqi

    Published in European journal of pharmacology (15-12-2019)
    “…Mitochondrial DNA mutations promote hypertensive renal dysfunction, but the molecular mechanism remains unclear. This study compared renal damage between…”
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    Journal Article
  4. 4

    Protective Effect of Mitochondrial ND2 C5178A Gene Mutation on Cell and Mitochondrial Functions by Tian, Liuyang, Zhu, Chao, Yang, Huanwan, Li, Yang, Liu, Yuqi

    “…Background. Mitochondrial NADH dehydrogenase subunit 2 (MT-ND2) m. 5178C>A gene mutation has protective effects against various diseases, but the molecular…”
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    Journal Article
  5. 5

    A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text by Zhu, Enwei, Sheng, Qilin, Yang, Huanwan, Li, Jinpeng

    Published 07-03-2022
    “…Medical information extraction consists of a group of natural language processing (NLP) tasks, which collaboratively convert clinical text to pre-defined…”
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    Journal Article