AIMC Journal:
Journal of biomedical informatics

Showing 201 to 210 of 650 articles

Improving the robustness and accuracy of biomedical language models through adversarial training.

Journal of biomedical informatics Jun 15, 2022
Deep transformer neural network models have improved the predictive accuracy of intelligent text processing systems in the biomedical domain. They have obtained state-of-the-art performance scores on a wide variety of biomedical and clinical Natural ...
Neural Networks, Computer Language Reproducibility of Results Natural Language Processing
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Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.

Journal of biomedical informatics Jun 13, 2022
OBJECTIVE: Develop a novel methodology to create a comprehensive knowledge graph (SuppKG) to represent a domain with limited coverage in the Unified Medical Language System (UMLS), specifically dietary supplement (DS) information for discovering drug...
Natural Language Processing PubMed Dietary Supplements Semantics Unified Medical Language System
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Generalized genomic data sharing for differentially private federated learning.

Journal of biomedical informatics Jun 9, 2022
The success behind Machine Learning (ML) methods has largely been attributed to the quality and quantity of the available data which can spread across multiple owners. A Federated Learning (FL) from distributed datasets often provides a reliable solu...
Machine Learning Algorithms Privacy Information Dissemination Genomics
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A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS.

Journal of biomedical informatics Jun 9, 2022
OBJECTIVE: To propose a new vector-based relatedness metric that derives word vectors from the intrinsic structure of biomedical ontologies, without consulting external resources such as large-scale biomedical corpora.
Biological Ontologies Unified Medical Language System Humans Natural Language Processing Semantics Systematized Nomenclature of Medicine
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Tell me something interesting: Clinical utility of machine learning prediction models in the ICU.

Journal of biomedical informatics Jun 7, 2022
In recent years, extensive resources are dedicated to the development of machine learning (ML) based clinical prediction models for intensive care unit (ICU) patients. These models are transforming patient care into a collaborative human-AI task, yet...
ROC Curve Critical Care Humans Algorithms Machine Learning Intensive Care Units
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idse-HE: Hybrid embedding graph neural network for drug side effects prediction.

Journal of biomedical informatics May 28, 2022
In drug development, unexpected side effects are the main reason for the failure of candidate drug trials. Discovering potential side effects of drugsin silicocan improve the success rate of drug screening. However, most previous works extracted and ...
Drug-Related Side Effects and Adverse Reactions Knowledge Software Drug Development Humans Neural Networks, Computer
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Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer.

Journal of biomedical informatics May 20, 2022
The multi-modal and unstructured nature of observational data in Electronic Health Records (EHR) is currently a significant obstacle for the application of machine learning towards risk stratification. In this study, we develop a deep learning framew...
Pancreatic Neoplasms Humans Time Factors Electronic Health Records Deep Learning Early Detection of Cancer
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Continuous-time probabilistic models for longitudinal electronic health records.

Journal of biomedical informatics May 7, 2022
Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine. Difficulty in applying Machine Learning (ML) methods, either predictive or unsupervised, stems in part from the heterogeneity and irregular samp...
Models, Statistical Probability Electronic Health Records Humans Machine Learning Algorithms
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Diagnosis of COVID-19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones.

Journal of biomedical informatics Apr 27, 2022
Scientific evidence shows that acoustic analysis could be an indicator for diagnosing COVID-19. From analyzing recorded breath sounds on smartphones, it is discovered that patients with COVID-19 have different patterns in both the time domain and fre...
COVID-19 Smartphone Acoustics Respiratory Sounds Neural Networks, Computer Humans Artificial Intelligence
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Automatic Evaluation of Motor Rehabilitation Exercises Based on Deep Mixture Density Neural Networks.

Journal of biomedical informatics Apr 20, 2022
An automatic assessment system for physical telerehabilitation could reduce the time and cost of treatments. But such assessment involves stochastic uncertainties, nonlinearities, and complexities of human movement. Probabilistic models and deep stru...
Neural Networks, Computer Algorithms Humans Reproducibility of Results Normal Distribution Exercise Therapy
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