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Value-based Healthcare: Can Artificial Intelligence Provide Value in Orthopaedic Surgery?

作者信息

Jayakumar Prakash, Moore Meredith L G, Bozic Kevin J

机构信息

P. Jayakumar, UK Harkness Fellow in Health Care Policy and Practice Innovation, Value Institute for Health and Care/Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA. M. L. G. Moore, Value Based Care Fellow, Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA K. J. Bozic, Chair, Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.

出版信息

Clin Orthop Relat Res. 2019 Aug;477(8):1777-1780. doi: 10.1097/CORR.0000000000000873.

DOI:10.1097/CORR.0000000000000873
PMID:31335596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7000015/
Abstract
摘要

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Scalable and accurate deep learning with electronic health records.借助电子健康记录实现可扩展且准确的深度学习。
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Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?编辑聚焦/五分钟速览:机器学习算法能否预测哪些患者在全关节置换术后会达到最小临床重要差异?
Clin Orthop Relat Res. 2019 Jun;477(6):1262-1266. doi: 10.1097/CORR.0000000000000787.
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Clin Orthop Relat Res. 2019 May;477(5):1036-1052. doi: 10.1097/CORR.0000000000000755.
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Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?机器学习方法能否准确且易于使用地预测膝关节或髋关节置换术后 30 天的并发症和死亡率?
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Defining the incidence of cardiorespiratory instability in patients in step-down units using an electronic integrated monitoring system.使用电子综合监测系统确定降级病房患者心肺功能不稳定的发生率。
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