Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” Informatics in Medicine Unlocked Volume 37, 2023, 101191

Q1 Medicine Informatics in Medicine Unlocked Pub Date : 2024-01-01 Epub Date: 2024-09-16 DOI:10.1016/j.imu.2024.101583
Baris Balaban , Caglar Yilgor , Altug Yucekul , Tais Zulemyan , Ibrahim Obeid , Javier Pizones , Frank Kleinstueck , Francisco Javier Sanchez Perez-Grueso , Ferran Pellise , Ahmet Alanay , Osman Ugur Sezerman , European Spine Study Group
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利用 XGBoost 算法建立可用于临床的模型,预测术后对位良好的成人脊柱畸形患者的机械并发症》的更正 《医学信息学解锁》第 37 卷,2023 年,101191 期
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来源期刊
Informatics in Medicine Unlocked
Informatics in Medicine Unlocked Medicine-Health Informatics
CiteScore
9.50
自引率
0.00%
发文量
282
审稿时长
39 days
期刊介绍: Informatics in Medicine Unlocked (IMU) is an international gold open access journal covering a broad spectrum of topics within medical informatics, including (but not limited to) papers focusing on imaging, pathology, teledermatology, public health, ophthalmological, nursing and translational medicine informatics. The full papers that are published in the journal are accessible to all who visit the website.
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