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Review Cycle Records

JOURNAL OF BIOMEDICAL INFORMATICS

Elsevier SCIE 非OA
2026新锐 2区2025中科院 2区2025 JCR Q2
148.1平均天数
152中位天数
81最短天数
271最长天数
2042025发文量

Paper Review Records

全部论文审稿周期

17 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

82 天

Evaluating teacher-supervised small medical language models for institution-constrained clinical QA

作者Gaoyuan Du; Dimitrios Dimitriadis; Xueping Li

作者单位Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, 37996, TN, USA; Amazon, Seattle, 98109, WA, USA

PDF源文件 DOI 网页
193 天

TriFuse: A multi-signal three-stage data distillation framework for efficient medical model training

作者Ruilong Xu; Huan Fang

作者单位College of Mathematics and Big Data, Anhui University of Science and Technology, No. 168 Taifeng Avenue, Huainan, Anhui 232001, China

PDF源文件 DOI 网页
198 天

Quality-aware multi-source data fusion and enhancement for Medical Concept Normalization using Large Language Models

作者Yuhan Zhou; Ruochi Li; Ana Cleveland; Junhua Ding; Kewei Sha; Haihua Chen

作者单位Department of Information Science, University of North Texas, Denton, 76203, TX, USA; Department of Computer Science, North Carolina State University, Raleigh, 27695, NC, USA; Anuradha and Vikas Sinha Department of Data Science, University of North Texas, Denton, 76203, TX, USA

PDF源文件 DOI 网页
152 天

Common data element (CDE) and AI-Enabled approaches for clinical data Management: Workshop proceedings from the NIH INCLUDE Project

作者Joaquin M. Espinosa; Kate Burdekin; Jeanette O. Auman; Benjamin Tyndall; James F. Cnota; Sigan L. Hartley; Deborah J. Fidler; Susan Redline; Anne Thessen; Diane Catellier; Robert J Carroll; Tracie Rosser; Pierrette Lo; David Beaumont; Karthik Natarajan; Allison Heath; Danniel Fabbri; Maria Chatzou Dunford; Alex Cheng; Bryanna Schwartz; Huiqing Li

作者单位Linda Crnic Institute for Down Syndrome, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States; Kayvea LLC and RTI International, Research Triangle Park, NC 27709, United States; RTI International, Research Triangle Park, NC 27709, United States; Heart Institute, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, United States; School of Human Ecology and Waisman Center, University of Wisconsin-Madison, Madison, WI 53711, United States; Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO 80523-1570, United States; Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, United States; University of North Carolina’s Genetics Department, Chapel Hill, NC 27514, United States; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States; Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, United States; Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States; Center for Data-Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, United States; Lifebit Biotech Ltd. 4th Floor, 28-29 Threadneedle Street, London EC2R 8AY, United Kingdom; Vanderbilt Institute of Clinical and Translational Research and Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States; National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, United States

PDF源文件 DOI 网页
271 天

A novel language model for predicting serious adverse event results in clinical trials from their prospective registrations

作者Qixuan Hu; Xumou Zhang; Jinman Kim; Florence Bourgeois; Adam G. Dunn

作者单位School of Computer Science, Faculty of Engineering, University of Sydney, Sydney, NSW, Australia; Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA, United States; Harvard-MIT Center for Regulatory Science and Department of Pediatrics, Harvard Medical School, Boston, MA, United States; Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia

PDF源文件 DOI 网页
169 天

Selection-based prompting with synthesized candidates unlocks high-performance clinical abbreviation disambiguation via open-source LLMs

作者Siwen Wei; Xiaoyu Liu; Yonghong Shi

作者单位Digital Medical Research Center, School of Basic Medical Science, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Shanghai 200032, China

PDF源文件 DOI 网页
166 天

Predicting healthy weight status from physical activity and dietary intake: A time-aware data mining pipeline

作者Xiaotong Yu; Joshua Y. Kim; Guillaume Wattelez; Olivier Galy; Corinne Caillaud; Kalina Yacef

作者单位School of Computer Science, The University of Sydney, Sydney, NSW 2008, Australia; Institute for Societies, Languages and Education, University of New Caledonia, Noumea, 98800, New Caledonia; Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2008, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW 2008, Australia

PDF源文件 DOI 网页
167 天

Selective classification under imbalance in multiclass settings: A novel metric for bias-aware risk–coverage evaluation

作者Fatih Sağlam; Ünsal Özgen; Alper Uygun; Oğuz Salih Dinçer; Canan Albayrak

作者单位Department of Statistics, Faculty of Science, Ondokuz Mayis University, Samsun, 55100, Turkiye; Department of Pediatric Hematology and Oncology, Faculty of Medicine, Samsun, 55100, Turkiye

PDF源文件 DOI 网页
120 天

BiGranMolNet: A deep learning method for predicting blood-brain barrier permeability based on Bi-Granularity Molecular Graphs

作者Yidan Wang; Yizhuo Wang; Yang Wang; Jiajun Wang

作者单位School of Computer Science and Technology, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Beijing, 100081, Beijing, China

PDF源文件 DOI 网页
136 天

Real-time hallucination detection and intervention in medical LLMs via calibrated hidden-state probes

作者Zhengqiu Yu; Xiangrong Liu

作者单位School of Medicine, Xiamen University, Xiamen 361005, PR China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, PR China; Department of Computer Science and Technology, Xiamen University, Xiamen 361005, PR China; Xiamen Key Laboratory of Intelligent Storage and Computing, Xiamen University, Xiamen 361005, PR China

PDF源文件 DOI 网页

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《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96.4 天

中位数77 天

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