Effective attention-based network for syndrome differentiation of AIDS.

Journal: BMC medical informatics and decision making
PMID: 33059709

Abstract

BACKGROUND: Syndrome differentiation aims at dividing patients into several types according to their clinical symptoms and signs, which is essential for traditional Chinese medicine (TCM). Several previous works were devoted to employing the classical algorithms to classify the syndrome and achieved delightful results. However, the presence of ambiguous symptoms substantially disturbed the performance of syndrome differentiation, This disturbance is always due to the diversity and complexity of the patients' symptoms.

Authors

  • Huaxin Pang
    Beijing Jiaotong University,China, No.3 Shangyuancun, Haidian District, Beijing, 100044, China.
  • Shikui Wei
    Beijing Jiaotong University,China, No.3 Shangyuancun, Haidian District, Beijing, 100044, China.
  • Yufeng Zhao
    Institute of Basic Research in Clinical Medicine/National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No.16 South Street,Dongzhimen,Dongcheng District, Beijing, 100700, China. snowmanzhao@163.com.
  • Liyun He
    Institute of Basic Research in Clinical Medicine/National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, No.16 South Street,Dongzhimen,Dongcheng District, Beijing, 100700, China.
  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Baoyan Liu
    China Academy of Chinese Medical Sciences.
  • Yao Zhao
    School of Environmental Science and Engineering, Shaanxi University of Science and Technology, Xi'an 170021, China.

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