Paper Review Records
全部论文审稿周期
23 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接
51
天
Transportability, calibration drift, and recalibration of intraoperative mean arterial pressure trajectory phenotypes for prolonged postoperative length of stay
作者
Jingzhuo Ren; Zhaoping Xue展开收起
作者单位
School of Nursing, Jilin University, Changchun, China; Post-Anesthesia Care Unit, The First Hospital of Jilin University, Changchun, China展开收起
42
天
From predictive signal to deployable value: EHR measurement-process features in ICU AKI prediction
作者
Jing Zou; Haozengran Wang; Zile Xin; Qian Zhou; Jingxi Chen; Junlei Huang展开收起
作者单位
The First Clinical College, Gannan Medical University, Ganzhou, 341000, Jiangxi, China; School of Economics and Management, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China; School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, Jiangxi, China; College of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, 330006, Jiangxi, China; College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, 471003, Henan, China展开收起
63
天
RUBIN: A flexible, Bayesian Network-based clinical decision support system
作者
Anna Kleinau; Marike Lombaers; Anna Schoenaker; Johanna M.A. Pijnenborg; Monique Meuschke; Steffen Oeltze-Jafra展开收起
作者单位
Hannover Medical School, Peter L. Reichertz Institute for Medical Informatics, Hannover, Germany; Otto-von-Guericke University, Dept. Simulation & Graphics, Magdeburg, Germany; Radboud University Medical Center, Dept. Obstetrics & Gynecology, Nijmegen, the Netherlands; Radboud University Medical Center, Dept. IQ Health, Nijmegen, the Netherlands; CAIMed: Lower Saxony Center for Artificial Intelligence and Causal Methods in Medicine, Hannover, Germany展开收起
84
天
Domain-specific functional outcome prediction in stroke rehabilitation: A multicenter artificial intelligence study
作者
Dong-Young Kim; Seyoung Shin; Junhyung Moon; Yubin Kim; Heegoo Kim; HyeongMin Jeon; Dae Hyun Kim; Eun Joo Kim; Eu Jeong Ko; MinYoung Kim; Baek Hwan Cho展开收起
作者单位
Medical AI Research Center, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea; Department of Rehabilitation Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea; Department of Software Convergence, School of Healthcare Convergence, CHA University, Pocheon, South Korea; Samsung Medical Center, Sungkyunkwan University School of Medicine, Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Seoul, South Korea; Department of Rehabilitation Medicine, Rehabilitation Hospital, National Rehabilitation Center, Seoul, South Korea; Function & Research Center, Seoul Rehabilitation Hospital, Seoul, South Korea; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, South Korea展开收起
80
天
Public evaluations of AI-mediated healthcare when considering people with diverse access and support needs: a mixed-methods survey
作者
Joni-Roy Piispanen; Janne Kauttonen; Ari Alamäki; Rebekah Rousi展开收起
作者单位
School of Marketing and Communication, University of Vaasa, Wolffintie 32, 65200 Vaasa, Finland; Haaga-Helia University of Applied Sciences, Ratapihantie 13, 00520 Helsinki, Finland展开收起
37
天
Forecasting emergency department overcrowding using the CEDOCS score – predictable, but not actionable?
作者
Cornelius Born; Andreas Hein; Lilly Kämmerling; Luca Kittelmann; Martin Schmauch; Alexander Berger; Martin Gottwald; Nicola Friedhoff; Michael Dommasch; Helmut Krcmar展开收起
作者单位
Technical University of Munich, School of Computation, Information and Technology, Munich, Germany; University of St. Gallen, St. Gallen, Institute of Information Systems and Digital Business, Switzerland; fortiss GmbH, Department of Machine Learning, Munich, Germany; AGAPLESION Evangelisches Krankenhaus Mittelhessen, Clinic for Acute and Emergency Medicine, Gießen, Germany; TUM Klinikum Rechts der Isar Hospital, Emergency Department, Munich, Germany展开收起
Expert Matching · Case Demo
把投稿要求,转成可验证的期刊方案
说清专业、时限和作者背景,CrushSCI 结合真实审稿样本,给出拟题方向、期刊初筛与周期判断。
