Comment on: "Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care"
- PMID: 35870106
- DOI: 10.1007/s40279-022-01736-6
Comment on: "Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care"
Comment in
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Response to Comment on: "Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care".Sports Med. 2022 Nov;52(11):2799-2801. doi: 10.1007/s40279-022-01737-5. Epub 2022 Jul 23. Sports Med. 2022. PMID: 35870107 No abstract available.
Comment on
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Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care.Sports Med. 2022 Aug;52(8):1729-1735. doi: 10.1007/s40279-022-01655-6. Epub 2022 Feb 17. Sports Med. 2022. PMID: 35175575
References
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- Bullock GS, Hughes T, Arundale AH, Ward P, Collins GS, Kluzek S. Black box prediction methods in sports medicine deserve a red card for reckless practice: a change of tactics is needed to advance athlete care. Sports Med. 2022. https://doi.org/10.1007/s40279-022-01655-6 . - DOI - PubMed
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- Hulme A, McLean S, Salmon PM, Thompson J, Lane BR, Nielsen RO. Computational methods to model complex systems in sports injury research: agent-based modelling (ABM) and systems dynamics (SD) modelling. Br J Sports Med. 2019;53(24):1507–10. - DOI
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- Van Eetvelde H, Mendonca LD, Ley C, Seil R, Tischer T. Machine learning methods in sport injury prediction and prevention: a systematic review. J Exp Orthop. 2021;8(1):27. - DOI
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