PREDICTING THE ONSET OF END-STAGE KNEE OSTEOARTHRITIS OVER TWO- AND FIVE-YEARS USING MACHINE LEARNING

被引:0
|
作者
Salis, Zubeyir [1 ,2 ]
Driban, Jeffrey [3 ]
McAlindon, Timothy [4 ]
机构
[1] Univ Geneva, Fac Med, Geneva, Switzerland
[2] Geneva Univ Hosp, Dept Rheumatol, Geneva, Switzerland
[3] UMass Chan Med Sch, Dept Populat & Quantitat Hlth Sci, Worcester, MA USA
[4] Tufts Med Ctr, Div Rheumatol Allergy & Immunol, Boston, MA USA
关键词
D O I
暂无
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
325
引用
收藏
页码:S232 / S232
页数:1
相关论文
共 50 条
  • [41] Using Machine Learning to Predict Medial Knee Cartilage Worsening over 2 Years Using Gait and Physical Activity: The MOST Study
    Costello, Kerry
    Felson, David
    Jafarzadeh, S. Reza
    Segal, Neil
    Lewis, Cora
    Nevitt, Michael
    Lewis, Cara
    Kolachalama, Vijay
    Kumar, Deepak
    ARTHRITIS & RHEUMATOLOGY, 2021, 73 : 416 - 419
  • [42] MACHINE LEARNING FOR ASSOCIATION OF WEARABLE-SENSOR DERIVED GAIT MEASURES WITH WORSENING KNEE PAIN OVER 2-YEARS: THE MULTICENTER OSTEOARTHRITIS STUDY
    Bacon, K. L.
    Felson, D. T.
    Jafarzadeh, S. R.
    Kolachalama, V. B.
    Hausdorff, J. M.
    Gazit, E.
    Segal, N. A.
    Lewis, C. E.
    Nevitt, M. C.
    Kumar, D.
    OSTEOARTHRITIS AND CARTILAGE, 2022, 30 : S37 - S37
  • [43] Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids
    de Gonzalo-Calvo, David
    Martinez-Camblor, Pablo
    Baer, Christian
    Duarte, Kevin
    Girerd, Nicolas
    Fellstrom, Bengt
    Schmieder, Roland E.
    Jardine, Alan G.
    Massy, Ziad A.
    Holdaas, Hallvard
    Rossignol, Patrick
    Zannad, Faiez
    Thum, Thomas
    THERANOSTICS, 2020, 10 (19): : 8665 - 8676
  • [44] Prediction of knee pain improvement over two years for knee osteoarthritis using a dynamic nomogram based on MRI-derived radiomics: a proof-of-concept study
    Lin, T.
    Peng, S.
    Lu, S.
    Fu, S.
    Zeng, D.
    Li, J.
    Chen, T.
    Fan, T.
    Lang, C.
    Feng, S.
    Ma, J.
    Zhao, C.
    Antony, B.
    Cicuttini, F.
    Quan, X.
    Zhu, Z.
    Ding, C.
    OSTEOARTHRITIS AND CARTILAGE, 2023, 31 (02) : 267 - 278
  • [45] Outcome after total ankle replacement or ankle arthrodesis in end-stage ankle osteoarthritis on the basis of german-wide data: a retrospective comparative study over 10 years
    Kostuj, Tanja
    Hoenning, Alexander
    Mittelmeier, Wolfram
    Malzahn, Juergen
    Baums, Mike H.
    Osmanski-Zenk, Katrin
    BMC MUSCULOSKELETAL DISORDERS, 2024, 25 (01)
  • [46] Early prediction of end-stage kidney disease using electronic health record data: a machine learning approach with a 2-year horizon
    Petousis, Panayiotis
    Wilson, James M.
    Gelvezon, Alex, V
    Alam, Shafiul
    Jain, Ankur
    Prichard, Laura
    Elashoff, David A.
    Raja, Naveen
    Bui, Alex A. T.
    JAMIA OPEN, 2024, 7 (01)
  • [47] Machine-learning-based early prediction of end-stage renal disease in patients with diabetic kidney disease using clinical trials data
    Belur Nagaraj, Sunil
    Pena, Michelle J.
    Ju, Wenjun
    Heerspink, Hiddo L.
    DIABETES OBESITY & METABOLISM, 2020, 22 (12): : 2479 - 2486
  • [48] Predicting Severe Knee Arthritis Based on Two Inertial Measurement Unit Sensors as a Dynamic Coordinate System Using Classical Machine Learning
    Azizi, Erfan
    Darbankhalesi, Mohammadsadegh
    Zare, Amirhossein
    Rezaeian, Zahra Sadat
    Kermani, Saeed
    JOURNAL OF MEDICAL SIGNALS & SENSORS, 2025, 15 (03):
  • [49] RISK FACTORS PREDICTIVE OF JOINT REPLACEMENT IN A TWO-YEAR MULTICENTRE CLINICAL TRIAL IN KNEE OSTEOARTHRITIS USING MRI: RESULTS FROM OVER SIX YEARS OF OBSERVATION
    Raynauld, Jean-Pierre
    Martel-Pelletier, Johanne
    Haraoui, Boulos
    Choquette, Denis
    Dorais, Marc
    Wildi, Lukas
    Abram, Francois
    Pelletier, Jean-Pierre
    OSTEOPOROSIS INTERNATIONAL, 2011, 22 : 107 - 107
  • [50] Predicting Fear of Breast Cancer Recurrence in women five years after diagnosis using Machine Learning and healthcare reimbursement data from the French nationwide VICAN survey ☆
    Koume, Mamoudou
    Seguin, Lorene
    Mancini, Julien
    Bendiane, Marc-Karim
    Bouhnik, Anne-Deborah
    Urena, Raquel
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2025, 193