Artificial intelligence as an assistant for studying treatment response in rheumatoid arthritis.
作者信息
Liao Katherine P, Cai Tianxi
机构信息
Division of Rheumatology Inflammation and Immunity, Brigham and Women's Hospital, USA; Department of Medicine, Harvard Medical School, USA; Department of Biomedical Informatics, Harvard Medical School,USA; Section of Rheumatology, VA Boston Healthcare System,USA.
Department of Biomedical Informatics, Harvard Medical School,USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, USA.
出版信息
Semin Arthritis Rheum. 2025 Feb;70S:152591. doi: 10.1016/j.semarthrit.2024.152591. Epub 2024 Nov 9.
Abstract
摘要
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Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis.基于电子健康记录数据的深度学习模型评估类风湿关节炎患者临床结局预测
JAMA Netw Open. 2019 Mar 1;2(3):e190606. doi: 10.1001/jamanetworkopen.2019.0606.
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Models solely using claims-based administrative data are poor predictors of rheumatoid arthritis disease activity.仅使用基于索赔的管理数据的模型对类风湿性关节炎疾病活动的预测能力较差。
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Portability of an algorithm to identify rheumatoid arthritis in electronic health records.算法在电子健康记录中识别类风湿关节炎的可移植性。
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