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Supervised machine ...
Supervised machine learning and associated algorithms: applications in orthopedic surgery
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Pruneski, J. A. (författare)
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Pareek, A. (författare)
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Kunze, K. N. (författare)
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Martin, R. K. (författare)
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- Karlsson, Jón, 1953 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för ortopedi,Institute of Clinical Sciences, Department of Orthopaedics
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Oeding, J. F. (författare)
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Kiapour, A. M. (författare)
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Nwachukwu, B. U. (författare)
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Williams, R. J. (författare)
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(creator_code:org_t)
- 2022-10-12
- 2023
- Engelska.
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Ingår i: Knee Surgery Sports Traumatology Arthroscopy. - : Springer Science and Business Media LLC. - 0942-2056 .- 1433-7347. ; 31:4, s. 1196-1202
- Relaterad länk:
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Supervised learning is the most common form of machine learning utilized in medical research. It is used to predict outcomes of interest or classify positive and/or negative cases with a known ground truth. Supervised learning describes a spectrum of techniques, ranging from traditional regression modeling to more complex tree boosting, which are becoming increasingly prevalent as the focus on "big data" develops. While these tools are becoming increasingly popular and powerful, there is a paucity of literature available that describe the strengths and limitations of these different modeling techniques. Typically, there is no formal training for health care professionals in the use of machine learning models. As machine learning applications throughout medicine increase, it is important that physicians and other health care professionals better understand the processes underlying application of these techniques. The purpose of this study is to provide an overview of commonly used supervised learning techniques with recent case examples within the orthopedic literature. An additional goal is to address disparities in the understanding of these methods to improve communication within and between research teams.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Ortopedi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Orthopaedics (hsv//eng)
Nyckelord
- Machine learning
- Orthopedics
- Sports Medicine
- Predictive models
- Statistical analysis
- knee
- Orthopedics
- Sport Sciences
- Surgery
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Pruneski, J. A.
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Pareek, A.
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Kunze, K. N.
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Martin, R. K.
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Karlsson, Jón, 1 ...
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Oeding, J. F.
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visa fler...
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Kiapour, A. M.
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Nwachukwu, B. U.
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Williams, R. J.
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Ortopedi
- Artiklar i publikationen
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Knee Surgery Spo ...
- Av lärosätet
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Göteborgs universitet