New interpretation of GNRV® knee arthrometer results for ACL injury diagnosis support using machine learning (vol 13, 100480, 2023)

被引:0
|
作者
Mouchotte, Jean [1 ]
LeBerre, Matthieu [1 ]
Cojean, Theo [2 ]
Robert, Henri [3 ]
机构
[1] ESIEA, Learnind Data & Robot Lab LDR, F-53000 Laval, France
[2] Univ Lyon, Univ Gustave Eiffel, Univ Claude Bernard Lyon 1, LBMC UMRT 9406, F-69622 Lyon, France
[3] Ctr Hosp Haut Anjou, F-53200 Chateau Gontier Sur Mayen, France
来源
关键词
D O I
10.1016/j.mlwa.2024.100540
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页数:1
相关论文
共 15 条
  • [1] New interpretation of GNRB® knee arthrometer results for ACL injury diagnosis support using machine learning
    Mouchotte, Jean
    Leberre, Matthieu
    Cojean, Theo
    Robert, Henri
    MACHINE LEARNING WITH APPLICATIONS, 2023, 13
  • [2] Prediction model for myocardial injury after non-cardiac surgery using machine learning (vol 13, 1475, 2023)
    Oh, Ah Ran
    Park, Jungchan
    Shin, Seo Jeong
    Choi, Byungjin
    Lee, Jong-Hwan
    Lee, Seung-Hwa
    Yang, Kwangmo
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [3] Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA (vol 13, 17355, 2023)
    De Francesco, Silvia
    Crema, Claudio
    Archetti, Damiano
    Muscio, Cristina
    Reid, Robert I.
    Nigri, Anna
    Bruzzone, Maria Grazia
    Tagliavini, Fabrizio
    Lodi, Raffaele
    D'Angelo, Egidio
    Boeve, Brad
    Kantarci, Kejal
    Firbank, Michael
    Taylor, John-Paul
    Tiraboschi, Pietro
    Redolfi, Alberto
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [4] Self-report symptom-based endometriosis prediction using machine learning (vol 13, 5499, 2023)
    Goldstein, Anat
    Cohen, Shani
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [5] Rapid and automated interpretation of CRISPR-Cas13-based lateral flow assay test results using machine learning
    Xue, Mengyuan
    Gonzalez, Diego H.
    Osikpa, Emmanuel
    Gao, Xue
    Lillehoj, Peter B.
    SENSORS & DIAGNOSTICS, 2025, 4 (02): : 171 - 181
  • [6] Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms (vol 13, 21090, 2023)
    Nagata, Chie
    Hata, Masahiro
    Miyazaki, Yuki
    Masuda, Hirotada
    Wada, Tamiki
    Kimura, Tasuku
    Fujii, Makoto
    Sakurai, Yasushi
    Matsubara, Yasuko
    Yoshida, Kiyoshi
    Miyagawa, Shigeru
    Ikeda, Manabu
    Ueno, Takayoshi
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [7] The prediction of sagittal chin point relapse following two-jaw surgery using machine learning (vol 13, 17005, 2023)
    Kim, Young Ho
    Kim, Inhwan
    Kim, Yoon-Ji
    Kim, Minji
    Cho, Jin-Hyoung
    Hong, Mihee
    Kang, Kyung-Hwa
    Lim, Sung-Hoon
    Kim, Su-Jung
    Kim, Namkug
    Shin, Jeong Won
    Sung, Sang-Jin
    Baek, Seung-Hak
    Chae, Hwa Sung
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [8] RETRACTED ARTICLE: Novel method for diagnosis diseases using advanced high-performance machine learning system(Applied Nanoscience, (2023), 13)
    Fayez, Mustafa
    Kurnaz, Sefer
    Applied Nanoscience (Switzerland), 2023, 13 (03):
  • [9] New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques
    Sanmartin, John
    Azuero, Paulina
    Hurtado, Remigio
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2024, PT II, 2025, 15347 : 35 - 45
  • [10] Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics (vol 13, 5705, 2023)
    Matz, Sandra C. C.
    Bukow, Christina S. S.
    Peters, Heinrich
    Deacons, Christine
    Dinu, Alice
    Stachl, Clemens
    SCIENTIFIC REPORTS, 2023, 13 (01)