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检索条件"机构=Section of Biomedical Informatics and Data Science"
117 条 记 录,以下是31-40 订阅
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rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms
arXiv
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arXiv 2025年
作者: Sufriyana, Herdiantri Su, Emily Chia-Yu Institute of Biomedical Informatics College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Graduate Institute of Biomedical Informatics College of Medical Science and Technology Taipei Medical University Taipei Taiwan Clinical Big Data Research Center Taipei Medical University Hospital Taipei Taiwan Institute of Biomedical Informatics College of Medicine National Yang Ming Chiao Tung University 155 Section 2 Linong Street Beitou District Taipei112304 Taiwan
Background: Current nomogram can only be created for regression algorithm. Providing nomogram for any machine learning (ML) algorithms may accelerate model deployment in clinical settings or improve model availability... 详细信息
来源: 评论
Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources
arXiv
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arXiv 2024年
作者: Li, Yiming Viswaroopan, Deepthi He, William Li, Jianfu Zuo, Xu Xu, Hua Tao, Cui McWilliams School of Biomedical Informatics The University of Texas Health Science Center at Houston HoustonTX77030 United States Department of Electrical & Computer Engineering Pratt School of Engineering Duke University 305 Tower Engineering Building DurhamNC27708 United States Department of Artificial Intelligence and Informatics Mayo Clinic JacksonvilleFL32224 United States Section of Biomedical Informatics and Data Science School of Medicine Yale University New HavenCT06510 United States
Objective Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for monitoring and analyzing the safety profiles of immunizations, identifying potential risks and ensuring the safe use of... 详细信息
来源: 评论
Kamino: A Scalable Architecture to Support Medical AI Research Using Large Real World data
Kamino: A Scalable Architecture to Support Medical AI Resear...
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IEEE International Conference on Healthcare informatics (ICHI)
作者: Fongci Lin Patrick Young Huan He Jimin Huang Roger Gagne Daniel Rice Nathan Price Will Byron Yan Hu Donn Felker Will Button Deniella Meeker Allen Hsiao Hua Xu Charles Torre Wade Schulz Section of Biomedical Informatics and Data Science School of Medicine Yale University New Haven CT USA Department of Laboratory Medicine School of Medicine Yale University New Haven CT USA Digital & Technology Solutions Yale New Haven Hospital New Haven CT USA Mcwilliam School of Biomedical Informatics University of Texas Health Science at Houston Houston TX USA Pediatrics and of Emergency Medicine at Yale School of Medicine Yale University New Haven CT USA
Electronic Health Records (EHRs) represent a crucial data source for real-world evidence generation. To facilitate biomedical studies using EHRs, standard data models like the OMOP CDM have been developed. Nevertheles... 详细信息
来源: 评论
Relation Extraction Using Large Language Models: A Case Study on Acupuncture Point Locations
arXiv
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arXiv 2024年
作者: Li, Yiming Peng, Xueqing Li, Jianfu Zuo, Xu Peng, Suyuan Pei, Donghong Tao, Cui Xu, Hua Hong, Na McWilliams School of Biomedical Informatics The University of Texas Health Science Center at Houston HoustonTX77030 United States Section of Biomedical Informatics and Data Science School of Medicine Yale University New HavenCT06510 United States Department of Artificial Intelligence and Informatics Mayo Clinic JacksonvilleFL32224 United States Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical Sciences Beijing100010 China The University of Texas MD Anderson Cancer Center HoustonTX77030 United States
In acupuncture therapy, the accurate location of acupoints is essential for its effectiveness. The advanced language understanding capabilities of large language models (LLMs) like Generative Pre-trained Transformers ... 详细信息
来源: 评论
BiomedRAG: A Retrieval augmented Large Language Model for Biomedicine
arXiv
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arXiv 2024年
作者: Li, Mingchen Kilicoglu, Halil Xu, Hua Zhang, Rui Division of Computational Health Sciences Department of Surgery University of Minnesota MinneapolisMN United States School of Information Sciences University of Illinois at Urbana-Champaign Champaign United States Section of Biomedical Informatics and Data Science School of Medicine Yale University New HavenCT United States
Large Language Models (LLMs) have swiftly emerged as vital resources for different applications in the biomedical and healthcare domains;however, these models encounter issues such as generating inaccurate information... 详细信息
来源: 评论
Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care
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Journal of the Society for Cardiovascular Angiography and Interventions 2025年 第3期4卷 102562-102562页
作者: Aminorroaya, Arya Biswas, Dhruva Pedroso, Aline F. Khera, Rohan Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven Connecticut United States Cardiovascular Data Science (CarDS) Lab Yale School of Medicine New Haven Connecticut United States Center for Outcomes Research and Evaluation (CORE) Yale New Haven Hospital New Haven Connecticut United States Section of Biomedical Informatics and Data Science Yale School of Medicine New Haven Connecticut United States Section of Health Informatics Department of Biostatistics Yale School of Public Health New Haven Connecticut United States
Artificial intelligence (AI) serves as a powerful tool that can revolutionize how personalized, patient-focused care is provided within interventional cardiology. Specifically, AI can augment clinical care across the ... 详细信息
来源: 评论
Biomedrag: A Retrieval Augmented Large Language Model for Biomedicine
SSRN
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SSRN 2024年
作者: Li, Mingchen Kilicoglu, Halil Xu, Hua Zhang, Rui Division of Computational Health Sciences Department of Surgery University of Minnesota MinneapolisMN United States School of Information Sciences University of Illinois at Urbana-Champaign Champaign IL United States Section of Biomedical Informatics and Data Science School of Medicine Yale University New HavenCT United States
Retrieval-augmented generation (RAG) offers a solution by retrieving knowledge from an established database to avoid hallucination of large language models (LLM). However, these models utilize specialized cross-attent... 详细信息
来源: 评论
Correction: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment
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JMIR Medical Education 2024年 10卷 e57594页
作者: Gilson, Aidan Safranek, Conrad W. Huang, Thomas Socrates, Vimig Chi, Ling Taylor, Richard Andrew Chartash, David Section for Biomedical Informatics and Data Science Yale University School of Medicine New Haven CT United States Department of Emergency Medicine Yale University School of Medicine New Haven CT United States Program of Computational Biology and Bioinformatics Yale University New Haven CT United States School of Medicine University College Dublin National University of Ireland Dublin Dublin Ireland Section for Biomedical Informatics and Data Science Yale University School of Medicine 300 George Street Suite 501 New Haven 06511 CT United States
In “How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge” (MIR Med Educ 2023;9:e45312) three additions we...
来源: 评论
Repurposing Drugs for Alzheimer's Diseases through Link Prediction on biomedical Literature  11
Repurposing Drugs for Alzheimer's Diseases through Link Pred...
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11th IEEE International Conference on Healthcare informatics, ICHI 2023
作者: Xiao, Yongkang Hou, Yu Zhou, Huixue Diallo, Gayo Fiszman, Marcelo Wolfson, Julian Kilicoglu, Halil Chen, You Xu, Hua Mantyh, William G. Zhang, Rui University of Minnesota Institute for Health Informatics MinneapolisMN United States University of Minnesota Department of Surgery MinneapolisMN United States University of Bordeaux Inria Sistm Team AHeaD Inserm 1219 Bordeaux Population Health F-33000 France Pontifical Catholic University of Rio de Janeiro Nites - Núcleo de Inovação e Tecnologia em Saúde Brazil University of Minnesota Division of Biostatistics School of Public Health MinneapolisMN United States University of Illinois Urbana-Champaign School of Information Sciences ChampaignIL United States Vanderbilt University Medical Center Department of Biomedical Informatics NashvilleTN United States Yale University Section of Biomedical Informatics and Data Science New HavenCT United States University of Minnesota Department of Neurology MinneapolisMN United States
Recently, computational drug repurposing has emerged as a promising method for identifying new interventions for diseases. This study predicts novel drugs for Alzheimer's disease (AD) through link prediction on ou... 详细信息
来源: 评论
53914 Association between Atopic Dermatitis and Peripheral Vascular Disease: A Cross-sectional Study in the All of Us Research Program
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Journal of the American Academy of Dermatology 2024年 第3期91卷 AB19-AB19页
作者: Spaulding, Sarah, BS Chen, Gloria, BA Craver, Andrew, BA Cohen, Jeffrey, MD Yale School of Medicine Department of Dermatology Yale School of Medicine Section of Biomedical Informatics and Data Science Yale School of Medicine
来源: 评论