Forecasting Intradialytic Hypotension: A Comparative Analysis of Machine-Learning and Deep-Learning Approaches

被引:0
|
作者
Huang, Chun-Te [1 ,2 ]
机构
[1] Taichung Vet Gen Hosp, Taichung, Taiwan
[2] Natl Yang Ming Chiao Tung Univ, Yangming Campus, Taipei, Taiwan
来源
关键词
D O I
10.1681/ASN.2024ndm5wrnd
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
TH-PO016
引用
收藏
页数:2
相关论文
共 50 条
  • [31] Authorship attribution in twitter: a comparative study of machine learning and deep learning approaches
    Aouchiche R.I.A.
    Boumahdi F.
    Remmide M.A.
    Madani A.
    International Journal of Information Technology, 2024, 16 (5) : 3303 - 3310
  • [32] Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches
    Alonso-Betanzos, Amparo
    Bolon-Canedo, Veronica
    SEX-SPECIFIC ANALYSIS OF CARDIOVASCULAR FUNCTION, 2018, 1065 : 607 - 626
  • [33] A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
    Danesh, Malihe
    Gharehbaghi, Amin
    Mehdizadeh, Saeid
    Danesh, Amirhossein
    WATER RESOURCES MANAGEMENT, 2024, : 1911 - 1930
  • [34] Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension
    Lee, Hojun
    Yun, Donghwan
    Yoo, Jayeon
    Yoo, Kiyoon
    Kim, Yong Chul
    Kim, Dong Ki
    Oh, Kook-Hwan
    Joo, Kwon Wook
    Kim, Yon Su
    Kwak, Nojun
    Han, Seung Seok
    CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2021, 16 (03): : 396 - 406
  • [35] Machine learning and deep learning approaches in IoT
    Javed, Abqa
    Awais, Muhammad
    Shoaib, Muhammad
    Khurshid, Khaldoon S.
    Othman, Mahmoud
    PEERJ COMPUTER SCIENCE, 2023, 9 : 1 - 30
  • [36] Machine learning and deep learning approaches in IoT
    Javed A.
    Awais M.
    Shoaib M.
    Khurshid K.S.
    Othman M.
    PeerJ Computer Science, 2023, 9
  • [37] Comparison of Machine-Learning and Deep-Learning Methods for the Prediction of Osteoradionecrosis Resulting From Head and Neck Cancer Radiation Therapy
    Reber, Brandon
    Van Dijk, Lisanne
    Anderson, Brian
    Mohamed, Abdallah Sherif Radwan
    Fuller, Clifton
    Lai, Stephen
    Brock, Kristy
    ADVANCES IN RADIATION ONCOLOGY, 2023, 8 (04)
  • [38] Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models
    Arunachalam, Harish
    Mishra, Rashika
    Daescu, Ovidiu
    Cederberg, Kevin
    Rakheja, Dinesh
    Sengupta, Anita
    Leonard, David
    Hallac, Rami
    Leavey, Patrick
    PLOS ONE, 2019, 14 (04):
  • [39] Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images
    Brehar, Raluca
    Mitrea, Delia-Alexandrina
    Vancea, Flaviu
    Marita, Tiberiu
    Nedevschi, Sergiu
    Lupsor-Platon, Monica
    Rotaru, Magda
    Badea, Radu Ioan
    SENSORS, 2020, 20 (11)
  • [40] Preface: machine-learning approaches for computational mechanics
    Z.LI
    Guohui HU
    Zhiliang WANG
    G.E.KARNIADAKIS
    Applied Mathematics and Mechanics(English Edition), 2023, 44 (07) : 1035 - 1038