Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Austin K. Collins"'
Autor:
Olivier Q Groot, Bas J J Bindels, Paul T Ogink, Neal D Kapoor, Peter K Twining, Austin K Collins, Michiel E R Bongers, Amanda Lans, Jacobien H F Oosterhoff, Aditya V Karhade, Jorrit-Jan Verlaan, Joseph H Schwab
Publikováno v:
Acta Orthopaedica, Vol 92, Iss 4, Pp 385-393 (2021)
Background and purpose — External validation of machine learning (ML) prediction models is an essential step before clinical application. We assessed the proportion, performance, and transparent reporting of externally validated ML prediction model
Externí odkaz:
https://doaj.org/article/6e857ecac3b54e31915ada6a2d68660a
Autor:
Austin K. Collins, Nicholas Sauder, Cecilia M. Nepple, Amy Z. Blackburn, Anoop K. Prasad, Oren I. Feder, Christopher M. Melnic, Hany S. Bedair, James I. Huddleston, Anders Troelsen, Orhun K. Muratoglu, Henrik Malchau
Publikováno v:
The Journal of Arthroplasty.
Autor:
Christopher M. Melnic, Akhil Katakam, Antonia F. Chen, Joseph H. Schwab, Charles R. Bragdon, Aditya V. Karhade, Austin K. Collins, Hany Bedair, David Shin
Publikováno v:
Journal of Orthopaedic Research. 40:808-815
As cost-effective measures become increasingly implemented in the US healthcare system, changes in patient-reported outcome measure (PROM) scores can be utilized to indicate patient satisfaction following procedures including total knee arthroplasty
Autor:
Christopher M. Melnic, Charles R. Bragdon, Akhil Katakam, Antonia F. Chen, David Shin, Nicholas Sauder, Hany Bedair, Austin K. Collins
Publikováno v:
The Journal of Arthroplasty. 36:S184-S191
Introduction The aims of this study were to determine if increasing body mass index (BMI) is a risk factor for failure to attain the 1-year Patient Reported Outcomes Measurement Information System Physical Function (PROMIS PF-10a) minimal clinically
Autor:
Joseph H. Schwab, Neal D Kapoor, Bas J J Bindels, Jacobien H.F. Oosterhoff, Jorrit-Jan Verlaan, Aditya V. Karhade, Paul T Ogink, Amanda Lans, Austin K. Collins, Olivier Q. Groot, Peter K Twining, Michiel E.R. Bongers
Publikováno v:
Acta Orthopaedica
article-version (VoR) Version of Record
Acta Orthopaedica, Vol 92, Iss 4, Pp 385-393 (2021)
article-version (VoR) Version of Record
Acta Orthopaedica, Vol 92, Iss 4, Pp 385-393 (2021)
Background and purpose — External validation of machine learning (ML) prediction models is an essential step before clinical application. We assessed the proportion, performance, and transparent reporting of externally validated ML prediction model
Autor:
Charles R. Bragdon, Austin K. Collins, Akhil Katakam, Christopher M. Melnic, Hany Bedair, Nicholas Sauder
Publikováno v:
The Journal of Arthroplasty. 36:72-77
Background Malnutrition is a devastating condition which disproportionally affects the elderly population. Malnutrition furthers the pre-existing elevated risk for osteoarthritis in this population, thus exacerbating joint damage in patients and furt
Autor:
Benjamin D. Schalet, Antonia F. Chen, Todd M O'Brien, David Cella, Patricia D. Franklin, Rachel C. Sisodia, Marilyn Heng, Christopher M. Melnic, Xiaodan Tang, Austin K. Collins
Publikováno v:
Heng, M, Tang, X, Schalet, B D, Collins, A K, Chen, A F, Melnic, C M, O'Brien, T M, Sisodia, R C, Franklin, P D & Cella, D 2021, ' Can the Knee Outcome and Osteoarthritis Score (KOOS) Function Subscale Be Linked to the PROMIS Physical Function to Crosswalk Equivalent Scores? ', Clinical Orthopaedics and Related Research, vol. 479, no. 12, pp. 2653-2664 . https://doi.org/10.1097/CORR.0000000000001857
Clin Orthop Relat Res
Clinical Orthopaedics and Related Research, 479(12), 2653-2664. Springer New York
Clin Orthop Relat Res
Clinical Orthopaedics and Related Research, 479(12), 2653-2664. Springer New York
BACKGROUND: An increased focus on patient-reported outcome measures (PROMs) has led to a proliferation of these measures in orthopaedic surgery. Mandating a single PROM in clinical and research orthopaedics is not feasible given the breadth of data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56f5100be1bea1d68eedbddb10bf9ad6
https://research.vumc.nl/en/publications/1cf913ad-9b83-41ea-ada7-b8dfc81abf78
https://research.vumc.nl/en/publications/1cf913ad-9b83-41ea-ada7-b8dfc81abf78
Autor:
Charles R. Bragdon, Tyler J. Humphrey, Christopher M. Melnic, Akhil Katakam, Shayan Hosseinzadeh, David Shin, Hany Bedair, Austin K. Collins
Publikováno v:
Cureus
Introduction: A comprehensive comparison of the performance of different femoral stem geometries in total hip arthroplasty (THA) is yet to be described. The primary aim of this study was to evaluate objective and subjective outcome measures in primar
Autor:
Marilyn Heng, Brocha Z. Stern, Xiaodan Tang, Benjamin D. Schalet, Austin K. Collins, Antonia F. Chen, Hany S. Bedair, Todd M. O'Brien, Rachel C. Sisodia, Patricia D. Franklin, David Cella
Publikováno v:
The Journal of the American Academy of Orthopaedic Surgeons, 30(15), e1043-e1050. Lippincott Williams and Wilkins Ltd.
Heng, M, Stern, B Z, Tang, X, Schalet, B D, Collins, A K, Chen, A F, Bedair, H S, O'Brien, T M, Sisodia, R C, Franklin, P D & Cella, D 2022, ' Linking Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form and PROMIS Physical Function ', The Journal of the American Academy of Orthopaedic Surgeons, vol. 30, no. 15, pp. e1043-e1050 . https://doi.org/10.5435/JAAOS-D-21-00736
Heng, M, Stern, B Z, Tang, X, Schalet, B D, Collins, A K, Chen, A F, Bedair, H S, O'Brien, T M, Sisodia, R C, Franklin, P D & Cella, D 2022, ' Linking Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form and PROMIS Physical Function ', The Journal of the American Academy of Orthopaedic Surgeons, vol. 30, no. 15, pp. e1043-e1050 . https://doi.org/10.5435/JAAOS-D-21-00736
INTRODUCTION: Linking scores on patient-reported outcome measures can enable data aggregation for research, clinical care, and quality. We aimed to link scores on the Hip Disability and Osteoarthritis Outcome Score-Physical Function Short Form (HOOS-
Autor:
Hamid Ghaednia, Nicole D Agaronnik, David Shin, Ophelie Lavoie-Gagne, Aditya V. Karhade, Austin K. Collins, Joseph H. Schwab
Publikováno v:
The spine journal : official journal of the North American Spine Society. 22(2)
BACKGROUND CONTEXT The increasing volume of free-text notes available in electronic health records has created an opportunity for natural language processing (NLP) algorithms to mine this unstructured data in order to detect and predict adverse outco