Analysis and design of dual-feature fusion neural network for sports injury estimation model-Reference-Cited by-同舟云学术

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Analysis and design of dual-feature fusion neural network for sports injury estimation model

Published:2021-07-07 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Meng Linsheng,Qiao Endong

Funder

Exercise prescription for compulsory isolation of drug addicts based on data intelligence Accurate recommendation system development

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06151-y.pdf

Reference24 articles.

1. Murphy DF, Connolly DAJ, Beynnon B (2003) Risk factors for lower extremity injury: a review of the literature. Br J Sports Med 37(1):13–29

2. Ba H (2020) Medical sports rehabilitation deep learning system of sports injury based on MRI image analysis. J Med Imaging Health Informatics 10(5):1091–1097

3. Palmer D, Cooper DJ, Emery C, Batt ME, Engebretsen L, Scammell BE, Budgett R (2021) Self-reported sports injuries and later-life health status in 3357 retired Olympians from 131 countries: a cross-sectional survey among those competing in the games between London 1948 and PyeongChang 2018. Br J Sports Med 55(1):46–53

4. Sillero-Quintana M, Gomez-Carmona PM, Fernández-Cuevas I (2021) Infrared thermography as a means of monitoring and preventing sports injuries. In: Research anthology on business strategies, health factors, and ethical implications in sports and eSports. IGI Global, pp 832–865

5. Davis WA 3rd, Yagnik GP (2021) In-season management of acute and subacute sports foot injuries. Foot Ankle Clin 26(1):187–203

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