Machine learning in chronic obstructive pulmonary disease

被引：0
|
作者：
Zhang Bochao [1 ]
Wang Jiping [1 ]
Chen Jing [1 ]
Ling Zongquan [1 ]
Ren Yuhao [1 ]
Xiong Daxi [1 ]
Guo Liquan [1 ]
机构：
[1] School of Biomedical Engineering (Suzhou)
[2] Division of Life Sciences and Medicine  3. University of Science and Technology of China  4. Hefei 
来源：
中华医学杂志(英文版) | 2023年 / 136卷 / 05期
关键词：
D O I：
暂无
中图分类号：
R563.9 [其他];
学科分类号：
1002 ; 100201 ;
摘要：
<正>
引用
下载
收藏
相关论文
共 50 条
  • [21] Machine learning-enabled risk prediction of chronic obstructive pulmonary disease with unbalanced data
    Wang, Xuchun
    Ren, Hao
    Ren, Jiahui
    Song, Wenzhu
    Qiao, Yuchao
    Ren, Zeping
    Zhao, Ying
    Linghu, Liqin
    Cui, Yu
    Zhao, Zhiyang
    Chen, Limin
    Qiu, Lixia
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2023, 230
  • [22] A MACHINE LEARNING APPROACH TO CHRONIC OBSTRUCTIVE PULMONARY DISEASE EXACERBATION IDENTIFICATION AND READMISSION RISK QUANTIFICATION
    Fakhraei, Reza
    Kaneswaran, Lanujan
    Rudzicz, Frank
    Gershon, Andrea
    Wu, Robert
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2021, 36 (SUPPL 1) : S1 - S2
  • [23] Machine Learning and Deep Neural Network Applications in the Thorax Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease
    Remy-Jardin, Martine
    Faivre, Jean-Baptiste
    Kaergel, Rainer
    Hutt, Antoine
    Felloni, Paul
    Khung, Suonita
    Lejeune, Anne-Laure
    Giordano, Jessica
    Remy, Jacques
    JOURNAL OF THORACIC IMAGING, 2020, 35 : S40 - S48
  • [24] Asthma and chronic obstructive pulmonary disease overlap: asthmatic chronic obstructive pulmonary disease or chronic obstructive asthma?
    Slats, Annelies
    Taube, Christian
    THERAPEUTIC ADVANCES IN RESPIRATORY DISEASE, 2016, 10 (01) : 57 - 71
  • [25] The application of impulse oscillometry system based on machine learning algorithm in the diagnosis of chronic obstructive pulmonary disease
    Zhao, Dongfang
    Mou, Xiuying
    Li, Yueqi
    Yao, Yicheng
    Du, Lidong
    Li, Zhenfeng
    Wang, Peng
    Li, Xiaoran
    Chen, Xianxiang
    Li, Xiaopan
    Li, Yong
    Fang, Zhen
    Xia, Jingen
    PHYSIOLOGICAL MEASUREMENT, 2024, 45 (05)
  • [26] Machine learning algorithms and forced oscillation measurements applied to the automatic identification of chronic obstructive pulmonary disease
    Amaral, Jorge L. M.
    Lopes, Agnaldo J.
    Jansen, Jose M.
    Faria, Alvaro C. D.
    Melo, Pedro L.
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2012, 105 (03) : 183 - 193
  • [27] Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques
    Hussain, Ali
    Choi, Hee-Eun
    Kim, Hyo-Jung
    Aich, Satyabrata
    Saqlain, Muhammad
    Kim, Hee-Cheol
    DIAGNOSTICS, 2021, 11 (05)
  • [28] Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease
    Galvez-Barron, Cesar
    Perez-Lopez, Carlos
    Villar-Alvarez, Felipe
    Ribas, Jesus
    Formiga, Francesc
    Chivite, David
    Boixeda, Ramon
    Iborra, Cristian
    Rodriguez-Molinero, Alejandro
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [29] Symptom burden classification using radiomics analysis and machine learning in participants with chronic obstructive pulmonary disease
    Au, Ryan
    Makimoto, Kalysta
    Tan, Wan
    Bourbeau, Jean
    Hogg, James
    Kirby, Miranda
    MEDICAL PHYSICS, 2021, 48 (08) : 4682 - 4683
  • [30] Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease
    César Gálvez-Barrón
    Carlos Pérez-López
    Felipe Villar-Álvarez
    Jesús Ribas
    Francesc Formiga
    David Chivite
    Ramón Boixeda
    Cristian Iborra
    Alejandro Rodríguez-Molinero
    Scientific Reports, 13 (1)
12345