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Response to Comment on: "A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey".

作者信息

Bruce J M, Riegler K E, Meeuwisse W, Comper P, Hutchison M G, Delaney J S, Echemendia R J

机构信息

Department of Biomedical and Health Informatics, University of Missouri-Kansas City, Kansas City, MO, 64108, USA.

Princeton Neuropsychology and Sports Concussion Center of New Jersey at RSM Psychology, Princeton, NJ, 08540, USA.

出版信息

Sports Med. 2025 Apr 3. doi: 10.1007/s40279-025-02212-7.

DOI:10.1007/s40279-025-02212-7
PMID:40178718
Abstract
摘要

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本文引用的文献

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A Machine Learning Approach to Concussion Risk Estimation Among Players Exhibiting Visible Signs in Professional Hockey.一种用于估计职业曲棍球比赛中出现明显症状球员脑震荡风险的机器学习方法。
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2
Calibrating machine learning approaches for probability estimation: A comprehensive comparison.校准机器学习方法进行概率估计：全面比较。
Stat Med. 2023 Dec 20;42(29):5451-5478. doi: 10.1002/sim.9921. Epub 2023 Oct 17.
3
Calibration: the Achilles heel of predictive analytics.
校准：预测分析的阿喀琉斯之踵。
BMC Med. 2019 Dec 16;17(1):230. doi: 10.1186/s12916-019-1466-7.
4
A comparison of goodness-of-fit tests for the logistic regression model.逻辑回归模型拟合优度检验的比较
Stat Med. 1997 May 15;16(9):965-80. doi: 10.1002/(sici)1097-0258(19970515)16:9<965::aid-sim509>3.0.co;2-o.