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Paper Review Records

全部论文审稿周期

15 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

77 天

Machine learning-assisted mRNA vaccine pharmacovigilance: a systematic review of multi-source real-world data

作者
YuLong He; Yan Mao; XinYu Wang展开收起
作者单位
1. Department of Clinical Medicine, Hunan University of Traditional Chinese Medicine, Changsha, China展开收起
PDF源文件 DOI 网页
91 天

Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus

作者
Mary Ofuru Kama; Ifeyinwa Angela Ajah; Anayo Chukwu Ikegwu; Adaora Angela Obayi; Felix Oshiorenoya Uloko; Immaculate Chidimma Ogbuagu展开收起
作者单位
1. Computer Science Department, Ebonyi State University, Abakaliki, Nigeria; 2. Software Engineering Department, Veritas University, Abuja, Nigeria; 3. High Performance and Intelligence Computing, University of Nigeria, Nsukka, Nigeria; 4. Arkin University of Creative Arts and Design, Northern Cyprus, Mersin 10, Kyrenia, Turkey; 5. Computer Science Department, University of Nigeria, Nsukka, Nigeria; 6. Computer Science Department, Veritas University, Abuja, Nigeria展开收起
PDF源文件 DOI 网页
208 天

Development and external validation of a machine-learning risk model for colorectal cancer triage in Sweden’s fast-track pathway

作者
Michiel A. van Nieuwenhoven; Yang Cao展开收起
作者单位
1. Department of Internal Medicine, Division of Gastroenterology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; 2. University Health Care Research Center, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; 3. Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; 4. Unit of Integrative Epidemiology, Institute of Environmental Medicine, Stockholm, Sweden展开收起
PDF源文件 DOI 网页
604 天

Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy

作者
Tuersunjiang Naman; Hui Cheng; Xiao-lin Yu; Zi-tong Guo展开收起
作者单位
1. Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Affiliated Hospital of Xinjiang Second Medical College, Urumqi, China展开收起
PDF源文件 DOI 网页
535 天

Decentralized rare disease studies in Germany: first results and hurdles of secondary use of patient data

作者
Michele Zoch; Christian Gierschner; Jens Weidner; Martin Sedlmayr; Gabriele Müller; Daniela Choukair; Georg F. Hoffmann; Nicole Toepfner; Reinhard Berner; Fabian Prasser; Josef Schepers; Helge Hebestreit展开收起
作者单位
1. Institute for Medical Informatics and Biometry, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 2. Center for Evidence-Based Healthcare, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 3. Department of Pediatrics and Center for Rare Diseases, University Hospital Heidelberg, Heidelberg, Germany; 4. Department of Pediatrics, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 5. University Centre for Rare Diseases, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; 6. Medical Informatics Group and Medical Data Integration Center, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany; 7. Core Unit Digital Medicine and Interoperability, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Berlin, Germany; 8. Center for Rare Diseases – Reference Center Northern Bavaria, University Hospital, Julius-Maximilians University, Würzburg, Germany展开收起
PDF源文件 DOI 网页
346 天

The word and the way: strategies for domain-specific BERT pre-training in German medical NLP

作者
Henry He; Johann Frei; Raphael Schmitt展开收起
作者单位
1. School of Computation, Information and Technology, Technical University of Munich, Munich, Germany; 2. Chair of IT Infrastructure for Translational Medical Research, Faculty of Applied Computer Science, University of Augsburg, Augsburg, Germany; 3. Institute of General Practice, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany展开收起
PDF源文件 DOI 网页

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拟题建议
《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》

样本口径2026 年最近 5 篇有效论文样本

平均审稿62 天

中位数65 天

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