Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms.

Journal: Aging clinical and experimental research
PMID: 34570316

Abstract

BACKGROUND: Peripheral artery disease (PAD) is a common syndrome in elderly people. Recently, artificial intelligence (AI) algorithms, in particular machine-learning algorithms, have been increasingly used in disease diagnosis.

Authors

  • Jian-Min Gao
    School of Urban Construction and Safety Engineering, Shanghai Institute of Technology, 100 Haiquan Road, Fengxian District, Shanghai, 201418, China.
  • Zeng-Hua Ren
    Department of Geriatrics, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 222, Huanhu West Third Road, Nanhui New Town, Pudong New Area, Shanghai, 201306, People's Republic of China.
  • Xin Pan
    College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing 210023, People's Republic of China.
  • Yu-Xin Chen
    Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
  • Wei Zhu
    The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine Guangzhou 510120 China zhuwei9201@163.com.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Yan-Xi Yang
    Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China.
  • Guo-Xiang Fu
    Department of Geriatrics, The Tenth People's Hospital of Shanghai, Tongji University, No. 301, Yanchang Middle Road, Shanghai, 200072, People's Republic of China. fuguoxiang888@126.com.

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