Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28039, first published .
Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study

Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study

Ensemble Learning-Based Pulse Signal Recognition: Classification Model Development Study

Journals

  1. Wu W, Chen R, Guo R, Yan J, Zhang C, Wang Y, Yan H, Zhang Y. A novel method for assessing cardiac function in patients with coronary heart disease based on wrist pulse analysis. Irish Journal of Medical Science (1971 -) 2023;192(6):2697 View
  2. Ye W, Chen X, Li P, Tao Y, Wang Z, Gao C, Cheng J, Li F, Yi D, Wei Z, Yi D, Wu Y. OEDL: an optimized ensemble deep learning method for the prediction of acute ischemic stroke prognoses using union features. Frontiers in Neurology 2023;14 View
  3. Tian D, Chen W, Xu D, Xu L, Xu G, Guo Y, Yao Y. A review of traditional Chinese medicine diagnosis using machine learning: Inspection, auscultation-olfaction, inquiry, and palpation. Computers in Biology and Medicine 2024;170:108074 View
  4. Ma X, Guo R, Zhang C, Yan J, Zhu G, Wu W, Yan H, Hong L. An innovative approach for assessing coronary artery lesions: Fusion of wrist pulse and photoplethysmography using a multi-sensor pulse diagnostic device. Heliyon 2024;10(7):e28652 View
  5. Pan D, Guo Y, Fan Y, Wan H. Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies. The American Journal of Chinese Medicine 2024;52(03):605 View
  6. Bae H, Park S, Kim C. A practical guide to implementing artificial intelligence in traditional East Asian medicine research. Integrative Medicine Research 2024;13(3):101067 View