AIMC Journal:
Journal of biomedical informatics

Showing 641 to 650 of 658 articles

A multi-technique approach to bridge electronic case report form design and data standard adoption.

Journal of biomedical informatics Sep 6, 2014
BACKGROUND AND OBJECTIVE: The importance of data standards when integrating clinical research data has been recognized. The common data element (CDE) is a consensus-based data element for data harmonization and sharing between clinical researchers, i...
Models, Statistical Natural Language Processing Information Storage and Retrieval Computer Systems Computational Biology Parkinson Disease Biomarkers Reproducibility of Results Biomedical Research Software Humans Algorithms Research Design
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A natural language processing pipeline for pairing measurements uniquely across free-text CT reports.

Journal of biomedical informatics Sep 6, 2014
OBJECTIVE: To standardize and objectivize treatment response assessment in oncology, guidelines have been proposed that are driven by radiological measurements, which are typically communicated in free-text reports defying automated processing. We st...
Humans Machine Learning Software Area Under Curve ROC Curve Algorithms Radiology Computational Biology Tomography, X-Ray Computed Radiology Information Systems Radiographic Image Interpretation, Computer-Assisted Data Mining Natural Language Processing Reproducibility of Results Radiography, Abdominal Medical Oncology
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Biomedical text normalization through generative modeling.

Journal of biomedical informatics Jul 1, 2025
OBJECTIVE: A large proportion of electronic health record (EHR) data consists of unstructured medical language text. The formatting of this text is often flexible and inconsistent, making it challenging to use for predictive modeling, clinical decisi...
Data Mining Medical Informatics Semantics Systematized Nomenclature of Medicine Humans Electronic Health Records Natural Language Processing
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Machine learning applications related to suicide in military and Veterans: A scoping literature review.

Journal of biomedical informatics Jul 1, 2025
OBJECTIVE: Suicide remains one of the main preventable causes of death among service members and veterans. Early detection and accurate prediction are essential components of effective suicide prevention strategies. Machine learning techniques have b...
Suicide Military Personnel Veterans Risk Factors Suicide Prevention Humans Suicidal Ideation Machine Learning
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A lightweight graph neural network to predict long-term mortality in coronary artery disease patients: an interpretable causality-aware approach.

Journal of biomedical informatics Jul 1, 2025
BACKGROUND: Coronary artery disease (CAD) causes substantial death toll in the United States and worldwide. While traditional methods for CAD mortality prediction are based on established risk factors, they have significant limitations in accuracy, a...
Humans Neural Networks, Computer Risk Assessment Logistic Models Coronary Artery Disease Graph Neural Networks Machine Learning Aged Male Female Middle Aged Risk Factors
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Evaluating an information theoretic approach for selecting multimodal data fusion methods.

Journal of biomedical informatics Jul 1, 2025
OBJECTIVE: Interest has grown in combining radiology, pathology, genomic, and clinical data to improve the accuracy of diagnostic and prognostic predictions toward precision health. However, most existing works choose their datasets and modeling appr...
Male Lung Neoplasms Genomics Humans Algorithms Prognosis Medical Informatics Information Theory Carcinoma, Non-Small-Cell Lung Glioblastoma Prostatic Neoplasms
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Knowledge-enhanced Parameter-efficient Transfer Learning with METER for medical vision-language tasks.

Journal of biomedical informatics Jun 1, 2025
OBJECTIVE: The full fine-tuning paradigm becomes impractical when applying pre-trained models to downstream tasks due to significant computational and storage costs. Parameter-efficient fine-tuning (PEFT) methods can alleviate the issue. However, sol...
Medical Informatics Unified Medical Language System Humans Machine Learning Algorithms
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Multimodal fusion architectures for Alzheimer's disease diagnosis: An experimental study.

Journal of biomedical informatics Jun 1, 2025
OBJECTIVE: In the attempt of early diagnosis of Alzheimer's Disease, varying forms of medical records of multiple modalities are gathered to seize the interaction of multiple factors. However, the heterogeneity of multimodal data brings a challenge. ...
Diagnosis, Computer-Assisted Algorithms Humans Decision Support Systems, Clinical Female Artificial Intelligence Alzheimer Disease Male Machine Learning
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Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors.

Journal of biomedical informatics Jun 1, 2025
BACKGROUND: Neonatal low birth weight (LBW) is a significant predictor of increased morbidity and mortality among newborns. Predominantly, traditional prediction methods depend heavily on ultrasonography, which does not consider risk factors affectin...
Risk Factors Humans Birth Weight Deep Learning Neural Networks, Computer Machine Learning Decision Support Systems, Clinical Infant, Low Birth Weight Pregnancy Female Infant, Newborn
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A transformer-based framework for temporal health event prediction with graph-enhanced representations.

Journal of biomedical informatics Jun 1, 2025
OBJECTIVE: Deep learning approaches have demonstrated significant potential in predicting temporal health events in recent years. However, existing methods have not fully leveraged the complex interactions among comorbidities and have overlooked imba...
Neural Networks, Computer Algorithms Electronic Health Records Comorbidity Deep Learning Medical Informatics Humans
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