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3
Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.开发和内部验证用于预测肢体转移性疾病术前生存的机器学习算法。
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Dissecting racial bias in an algorithm used to manage the health of populations.剖析用于管理人群健康的算法中的种族偏见。
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Evaluating classification accuracy for modern learning approaches.评估现代学习方法的分类准确率。
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High-performance medicine: the convergence of human and artificial intelligence.高性能医学：人机智能融合。
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Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?机器学习技术可用于预测软骨肉瘤患者的 5 年生存率吗？
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CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

作者信息

Karhade Aditya V, Schwab Joseph H

机构信息

A. V. Karhade, J. H. Schwab, Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Clin Orthop Relat Res. 2020 Dec;478(12):2722-2728. doi: 10.1097/CORR.0000000000001367.

DOI:10.1097/CORR.0000000000001367
PMID:32667756
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7899395/
Abstract
摘要