Paper Review Records
全部论文审稿周期
16 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
169
天
Digital focus groups in healthcare interventions: A reflexive methodological analysis of how socio-technical and relational factors co-produce qualitative data
作者
Jan Gehrmann; Johannes Stephan; Ananda Stullich; Julia Roick; Laura Hoffmann; Matthias Richter展开收起
作者单位
1. TUM School of Medicine and Health, Department Health and Sport Sciences, Social Determinants of Health, Technical University of Munich, Munich, Germany; 2. TUM School of Medicine and Health, Department Clinical Medicine, Institute of General Practice and Health Services Research, Technical University of Munich, Munich, Germany展开收起
112
天
Single-label and multi-label classification for disease recognition with special consideration of comorbidities
作者
Sophie Schmiegel; Hannah Marchi; Marvin-Hendrik Röchter; Martin Rudwaleit; Christiane Fuchs展开收起
作者单位
1. Faculty of Business Administration and Economics, Data Science Group, Bielefeld University, Bielefeld, Germany; 2. Department of Internal Medicine and Rheumatology, Hospital Bielefeld Rosenhöhe, Bielefeld, Germany; 3. Medical School and University Medical Center OWL, Bielefeld University, Bielefeld, Germany; 4. Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Neuherberg, Germany展开收起
616
天
The dilemma of using racial and ethnic categories in biomedical research
作者
A S Kidane Gebremeskel; K A C Meeks; M H Cnossen; A M’charek; A W Rijneveld展开收起
作者单位
1. Dep. of Pediatrics, Pediatric Hematology, Erasmus Medical Center, Rotterdam, the Netherlands; 2. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, The United States of America, Bethesda, USA; 3. Anthropology, University of Amsterdam, Amsterdam, the Netherlands; 4. Department of Hematology, Erasmus University Medical Center, Rotterdam, the Netherlands展开收起
295
天
Variable selection for clinical prediction models in low-dimensional data - a simulation study comparing traditional regression and machine learning methods
作者
Johannes A. Vey; Georg Heinze; Meinhard Kieser展开收起
作者单位
1. Institute of Medical Biometry, University of Heidelberg, Heidelberg, Germany; 2. Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria展开收起
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