Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hidde, Dijkstra"'
Autor:
Hidde Dijkstra, Anouk van de Kuit, Tom de Groot, Olga Canta, Olivier Q. Groot, Jacobien H. Oosterhoff, Job N. Doornberg, On behalf of the Machine Learning Consortium
Publikováno v:
Bone & Joint Open, Vol 5, Iss 1, Pp 9-19 (2024)
Aims: Machine-learning (ML) prediction models in orthopaedic trauma hold great promise in assisting clinicians in various tasks, such as personalized risk stratification. However, an overview of current applications and critical appraisal to peer-rev
Externí odkaz:
https://doaj.org/article/da7b666159aa4867aae5bbb1120810ef
Autor:
Hidde Dijkstra, Liann I. Weil, Sylvia de Boer, Hubertus P.T.D. Merx, Job N. Doornberg, Barbara C. van Munster
Publikováno v:
SSM: Population Health, Vol 24, Iss , Pp 101488- (2023)
Objectives: To explore travel burden in patients with multimorbidity and analyze patients with high travel burden, to stimulate actions towards adequate access and (remote) care coordination for these patients. Design: A retrospective, cross-sectiona
Externí odkaz:
https://doaj.org/article/ac1b49c0599a4536a1afa5e278d7bd8c
Autor:
Hidde Dijkstra, Jacobien H. F. Oosterhoff, Anouk van de Kuit, Frank F. A. IJpma, Joseph H. Schwab, Rudolf W. Poolman, Sheila Sprague, Sofia Bzovsky, Mohit Bhandari, Marc Swiontkowski, Emil H. Schemitsch, Job N. Doornberg, Laurent A. M. Hendrickx, On behalf of the Machine Learning Consortium, the HEALTH Investigators, and the FAITH Investigators
Publikováno v:
Bone & Joint Open, Vol 4, Iss 3, Pp 168-181 (2023)
Aims: To develop prediction models using machine-learning (ML) algorithms for 90-day and one-year mortality prediction in femoral neck fracture (FNF) patients aged 50 years or older based on the Hip fracture Evaluation with Alternatives of Total Hip
Externí odkaz:
https://doaj.org/article/d6d5e78388284b628c15157e950e9b16
Autor:
Jacobien Oosterhoff, Hidde Dijkstra, Aditya Karhad, Rudolf Poolman, Inger B. Schipper, Rob GHH Nelissen, Daphne Embden, Ruurd L. Jaarsm, Joseph H. Schwab, Job N. Doornberg, Marilyn Heng, Bhavin Jada
Publikováno v:
SSRN Electronic Journal.
Autor:
Anouk, van de Kuit, Jacobien H F, Oosterhoff, Hidde, Dijkstra, Sheila, Sprague, Sofia, Bzovsky, Mohit, Bhandari, Marc, Swiontkowski, Emil H, Schemitsch, Frank F A, IJpma, Rudolf W, Poolman, Job N, Doornberg, Laurent A M, Hendrickx, Kyle, Jeray
Publikováno v:
Clinical Orthopaedics and Related Research, 480(12), 2350-2360. Springer New York
Clinical orthopaedics and related research, 480(12), 2350-2360. Springer New York
Clinical Orthopaedics and Related Research, 480(12), 2350-2360. LIPPINCOTT WILLIAMS & WILKINS
the Machine Learning Consortium and FAITH Investigators 2022, ' Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation : A Machine-learning Algorithm ', Clinical Orthopaedics and Related Research, vol. 480, no. 12, pp. 2350-2360 . https://doi.org/10.1097/CORR.0000000000002283
Clinical orthopaedics and related research, 480(12), 2350-2360. Springer New York
Clinical Orthopaedics and Related Research, 480(12), 2350-2360. LIPPINCOTT WILLIAMS & WILKINS
the Machine Learning Consortium and FAITH Investigators 2022, ' Patients With Femoral Neck Fractures Are at Risk for Conversion to Arthroplasty After Internal Fixation : A Machine-learning Algorithm ', Clinical Orthopaedics and Related Research, vol. 480, no. 12, pp. 2350-2360 . https://doi.org/10.1097/CORR.0000000000002283
BACKGROUND: Femoral neck fractures are common and are frequently treated with internal fixation. A major disadvantage of internal fixation is the substantially high number of conversions to arthroplasty because of nonunion, malunion, avascular necros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3da894e457a6740bfbbc2719e0256ac6
https://research.vumc.nl/en/publications/1f8810a5-ff86-41ad-955e-1d05d6d72954
https://research.vumc.nl/en/publications/1f8810a5-ff86-41ad-955e-1d05d6d72954
Autor:
Hidde Dijkstra, Jacobien H.F. Oosterhoff, Mitchell S. Fourman, Amanda Lans, Joseph H. Schwab, Allison Sweeney, Sophie Lloyd, Kelsey Detels, Hamid Ghaednia
Publikováno v:
SPINE JOURNAL. 21(10):1617-1625
BACKGROUND CONTEXT: The field of artificial intelligence (AI) is rapidly advancing, especially with recent improvements in deep learning (DL) techniques. Augmented (AR) and virtual reality (VR) are finding their place in healthcare, and spine surgery
Autor:
Jacobien H.F. Oosterhoff, Hidde Dijkstra, Aditya V. Karhade, Rudolf W. Poolman, Inger B. Schipper, Rob G.H.H. Nelissen, Daphne van Embden, Ruurd L. Jaarsma, Joseph H. Schwab, Job N. Doornberg, Marilyn Heng, Bhavin Jadav
Publikováno v:
Injury. Elsevier Limited
Purpose: Effects of clockwise torque rotation onto proximal femoral fracture fixation have been subject of ongoing debate: fixated right-sided trochanteric fractures seem more rotationally stable than left-sided fractures in the biomechanical setting
Autor:
Francisco Ibarra, Wiebren Zijlstra, Wei Zhang, Martin Stevens, Iman Khaghani Far, Hidde Dijkstra, Hilde Geraedts
Publikováno v:
European Review of Aging and Physical Activity, 18(10):10. SPRINGER HEIDELBERG
European Review of Aging and Physical Activity
European Review of Aging and Physical Activity
Objectives To gain first insight into the effectiveness of a home-based exercise programme for pre-frail older adults with independent use of novel ICT technology. Methods A pilot study. Forty pre-frail older adults joined a six-month home-based exer