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检索条件"机构=Informatics and Data Science Program"
285 条 记 录,以下是81-90 订阅
排序:
A deep learning approach to Lung Nodule Growth Prediction using CT image combined with Demographic and image features  23
A deep learning approach to Lung Nodule Growth Prediction us...
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7th International Conference on Medical and Health informatics, ICMHI 2023
作者: Li, Ai-Hsien Adams Nguyen, Duc-Khanh Lai, Yen-Jun Chien, Ting-Ying Chiu, Yen-Ling Chan, Chien-Lung Yang, Pan-Chyr Division of Cardiology Far Eastern Memorial Hospital Taipei220 Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Department of Information Management Yuan Ze University Taoyuan320 Taiwan Department of Radiology Far Eastern Memorial Hospital Taipei220 Taiwan Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan Graduate Institute of Medicine and Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan Taiwan Department of Medical Research Far Eastern Memorial Hospital Taipei Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan320 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei106 Taiwan Department of Internal Medicine College of Medicine National Taiwan University Taipei100 Taiwan Center of Genomic Medicine National Taiwan University Taipei100 Taiwan
Lung cancer remains a significant global public health concern, being the leading cause of cancer-related deaths worldwide. Despite recent medical advancements, the disease still has a high mortality rate, making earl... 详细信息
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Heightened COVID-19 Mortality in People With Severe Mental Illness Persists After Vaccination: A Cohort Study of Greater Manchester Residents (vol 49, pg 275, 2023)
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SCHIZOPHRENIA BULLETIN 2023年 第5期49卷 1399-1403页
作者: Hassan, Lamiece Sawyer, Chelsea Peek, Niels Lovell, Karina Carvalho, Andre F. Solmi, Marco Tilston, George Sperrin, Matthew Firth, Joseph Division of Psychology and Mental Health The University of Manchester Manchester Academic Health Science Centre Manchester M13 9PL UK Centre for Health Informatics Division of Informatics Imaging and Data Sciences The University of Manchester M13 9PL UK NIHR Greater Manchester Patient Safety Translational Research Centre The University of Manchester Manchester UK Manchester Academic Health Science Centre National Institute for Health Research Manchester Biomedical Research Centre The University of Manchester Manchester M13 9PL UK Division of Nursing Midwifery and Social Work University of Manchester Manchester Academic Health Science Centre Manchester M13 9PL UK IMPACT (Innovation in Mental and Physical Health and Clinical Treatment) Strategic Research Centre School of Medicine Barwon Health Deakin University Geelong Victoria Australia Psychiatry Department University of Ottawa Ottawa ON Canada The Ottawa Hospital University of Ottawa Ottawa ON Canada Clinical Epidemiology Program Ottawa Hospital Research Institute (OHRI) University of Ottawa Ottawa ON Canada Greater Manchester Mental Health NHS Foundation Trust Manchester Academic Health Science Centre Manchester M13 9PL UK
Background and hypothesis Previous studies show that people with severe mental illness (SMI) are at higher risk of COVID-19 mortality, however limited evidence exists regarding risk post-vaccination. We investigated C...
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Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare data Representation Learning
arXiv
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arXiv 2024年
作者: Huang, Chun-Kai Hsieh, Yi-Hsien Chien, Ta-Jung Chien, Li-Cheng Sun, Shao-Hua Su, Tung-Hung Kao, Jia-Horng Lin, Che Taiwan Data Science Degree Program NTU Taiwan Department of Electrical Engineering NTU Taiwan Division of Gastroenterology and Hepatology NTU Hospital Taiwan Hepatitis Research Center NTU Hospital Taiwan Graduate Institute of Clinical Medicine College of Medicine NTU Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taiwan Smart Medicine and Health Informatics Program NTU Taiwan
Multivariate time series (MTS) data, when sampled irregularly and asynchronously, often present extensive missing values. Conventional methodologies for MTS analysis tend to rely on temporal embeddings based on timest... 详细信息
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Employing texture features of chest x-ray images and machine learning in covid-19 detection and classification
Mendel
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Mendel 2021年 第1期27卷 9-17页
作者: Alquran, Hiam Alsleti, Mohammad Alsharif, Roaa Qasmieh, Isam Abu Alqudah, Ali Mohammad Harun, Nor Hazlyna Binti Department of Biomedical Systems and Informatics Engineering Yarmouk University Irbid21163 Jordan The Institute of Biomedical Technology King Hussein Medical Center Royal Jordanian Medical Service Amman11855 Jordan College of applied medical Sciences Radiological Science Program King Saud University Jeddah21435 Saudi Arabia Data Science Research Lab School of Computing Universiti Utara Malaysia Sintok Kedah06010 Malaysia
The novel coronavirus (nCoV-19) was first detected in December 2019. It had spread worldwide and was declared coronavirus disease (COVID-19) pandemic by March 2020. Patients presented with a wide range of symptoms aff... 详细信息
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Machine Learning in Chemoinformatics and Medicinal Chemistry
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Biomedical data science 1000年 第1期5卷 43-65页
作者: Raquel Rodríguez-Pérez Filip Miljković Jürgen Bajorath 2Current affiliation: Novartis Institutes for Biomedical Research Novartis Campus Basel Switzerland 1Department of Life Science Informatics B-IT (Bonn-Aachen International Center for Information Technology) Chemical Biology and Medicinal Chemistry Program Unit LIMES (Life and Medical Sciences Institute) Rheinische Friedrich-Wilhelms-Universität Bonn Germany email: bajorath@bit.uni-bonn.de 3Current affiliation: Data Science and AI Imaging and Data Analytics Clinical Pharmacology and Safety Sciences R&D AstraZeneca Gothenburg Sweden
In chemoinformatics and medicinal chemistry, machine learning has evolved into an important approach. In recent years, increasing computational resources and new deep learning algorithms have put machine learning onto... 详细信息
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graph-GPA 2.0: A Graphical Model for Multi-disease Analysis of GWAS Results with Integration of Functional Annotation data
arXiv
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arXiv 2022年
作者: Deng, Qiaolan Nam, Jin Hyun Yilmaz, Ayse Selen Chang, Won Pietrzak, Maciej Li, Lang Kim, Hang J. Chung, Dongjun The Interdisciplinary PhD program in Biostatistics The Ohio State University ColumbusOH United States Division of Big Data Science Korea University Sejong Campus Sejong Korea Republic of Department of Biomedical Informatics The Ohio State University ColumbusOH United States Division of Statistics and Data Science University of Cincinnati CincinnatiOH United States Pelotonia Institute for Immuno-Oncology The James Comprehensive Cancer Center The Ohio State University ColumbusOH United States
Motivation: Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to fully understand functio...
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Pan-cancer integrative histology-genomic analysis via interpretable multimodal deep learning
arXiv
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arXiv 2021年
作者: Chen, Richard J. Lu, Ming Y. Williamson, Drew F.K. Chen, Tiffany Y. Lipkova, Jana Shaban, Muhammad Shady, Maha Williams, Mane Joo, Bumjin Noor, Zahra Mahmood, Faisal Department of Pathology Brigham and Women's Hospital Harvard Medical School BostonMA United States Department of Biomedical Informatics Harvard Medical School BostonMA United States Cancer Program Broad Institute of Harvard MIT CambridgeMA United States Cancer Data Science Program Dana-Farber Cancer Institute BostonMA United States Department of Computer Science Harvard University CambridgeMA United States
The rapidly emerging field of deep learning-based computational pathology has demonstrated promise in developing objective prognostic models from histology whole slide images. However, most prognostic models are eithe... 详细信息
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A semi-supervised machine learning approach to detecting recurrent metastatic breast cancer cases using linked cancer registry and electronic medical record data
arXiv
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arXiv 2019年
作者: Ling, Albee Y. Kurian, Allison W. Caswell-Jin, Jennifer L. Sledge, George W. Shah, Nigam H. Tamang, Suzanne R. Stanford University Biomedical Informatics Training Program United States Stanford University School of Medicine Department of Medicine United States Stanford University School of Medicine Department of Health Research and Policy United States Stanford University Department of Biomedical Data Science United States Stanford University Center for Biomedical Informatics Research United States Stanford University Center for Population Health Sciences United States
Purpose: Most cancer data sources lack information on an important outcome: metastatic recurrence. Electronic medical records (EMRs) and population-based cancer registries contain complementary information on cancer o... 详细信息
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A robust multiplex-DIA workflow profiles protein turnover regulations associated with cisplatin resistance and aneuploidy
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Nature communications 2025年 第1期16卷 5034页
作者: Barbora Salovska Wenxue Li Oliver M Bernhardt Pierre-Luc Germain Qinyue Wang Tejas Gandhi Lukas Reiter Yansheng Liu Department of Pharmacology Yale University School of Medicine New Haven CT USA. Cancer Biology Institute Yale University School of Medicine West Haven CT USA. Biognosys AG Zurich-Schlieren Switzerland. Institute for Neuroscience Department of Health Sciences and Technology ETH Zurich Zurich Switzerland. Master Program of Public Health Department of Chronic Disease Epidemiology Yale School of Public Health New Haven CT USA. Department of Pharmacology Yale University School of Medicine New Haven CT USA. yansheng.liu@yale.edu. Cancer Biology Institute Yale University School of Medicine West Haven CT USA. yansheng.liu@yale.edu. Department of Biomedical Informatics & Data Science Yale University School of Medicine New Haven CT USA. yansheng.liu@yale.edu.
Quantifying protein turnover is fundamental to understanding cellular processes and advancing drug discovery. Multiplex-DIA mass spectrometry (MS), combined with dynamic SILAC labeling (pulse-SILAC, or pSILAC) reliabl...
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Contour Detection from Ultrasound Kidney Images with A Coarse-to-Fine Approach
Contour Detection from Ultrasound Kidney Images with A Coars...
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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
作者: Peng, Tao Gu, Yidong Xu, Yanqing Wang, Caishan Zhang, Lei Cai, Jing School of Future Science and Engineering Soochow University Suzhou China UT Southwestern Medical Center Department of Radiation Oncology DallasTX United States The Affiliated Suzhou Hospital of Nanjing Medical University Department of Medical Ultrasound Suzhou Municipal Hospital Jiangsu Suzhou China University of Texas Southwestern Medical Center McDermott Center for Human Growth and Development DallasTX United States The Second Affiliated Hospital of Soochow University Department of Ultrasound Suzhou China Duke Kunshan University Graduate Program of Medical Physics and Data Science Research Center Jiangsu Kunshan China The Hong Kong Polytechnic University Department of Health Technology and Informatics Hong Kong Hong Kong
Ultrasound kidney image segmentation presents significant challenges due to missing or ambiguous boundaries. In this study, we introduce a coarse-to-refinement approach incorporating four novel aspects. Firstly, we le... 详细信息
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