AIMC Journal:
Journal of biomedical informatics

Showing 231 to 240 of 650 articles

Extracting experimental parameter entities from scientific articles.

Journal of biomedical informatics Dec 14, 2021
Systematic reviews are labor-intensive processes to combine all knowledge about a given topic into a coherent summary. Despite the high labor investment, they are necessary to create an exhaustive overview of current evidence relevant to a research q...
Algorithms Natural Language Processing Systematic Reviews as Topic
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Deep graph convolutional network for US birth data harmonization.

Journal of biomedical informatics Dec 10, 2021
In this paper, we developed a feasible and efficient deep-learning-based framework to combine the United States (US) natality data for the last five decades, with changing variables and factors, into a consistent database. We constructed a graph base...
Humans Neural Networks, Computer Databases, Factual United States
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A contextual multi-task neural approach to medication and adverse events identification from clinical text.

Journal of biomedical informatics Dec 4, 2021
Effective wide-scale pharmacovigilance calls for accurate named entity recognition (NER) of medication entities such as drugs, dosages, reasons, and adverse drug events (ADE) from clinical text. The scarcity of adverse event annotations and underlyin...
Neural Networks, Computer Decision Support Systems, Clinical Natural Language Processing Pharmacovigilance Semantics
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A weakly supervised model for the automated detection of adverse events using clinical notes.

Journal of biomedical informatics Dec 3, 2021
With clinical trials unable to detect all potential adverse reactions to drugs and medical devices prior to their release into the market, accurate post-market surveillance is critical to ensure their safety and efficacy. Electronic health records (E...
Humans Machine Learning Electronic Health Records
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AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data.

Journal of biomedical informatics Nov 23, 2021
BACKGROUND: Scoring systems are highly interpretable and widely used to evaluate time-to-event outcomes in healthcare research. However, existing time-to-event scores are predominantly created ad-hoc using a few manually selected variables based on c...
Humans Machine Learning Likelihood Functions
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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.

Journal of biomedical informatics Nov 22, 2021
In the last decade, the widespread adoption of electronic health record documentation has created huge opportunities for information mining. Natural language processing (NLP) techniques using machine and deep learning are becoming increasingly widesp...
Humans Neural Networks, Computer Machine Learning Electronic Health Records Neoplasms Natural Language Processing
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Machine learning algorithm for feature space clustering of mixed data with missing information based on molecule similarity.

Journal of biomedical informatics Nov 15, 2021
Clustering Algorithms have just fascinated significant devotion in machine learning applications owing to their great competence. Nevertheless, the existing algorithms quite have approximately disputes that need to be further deciphered. For example,...
Machine Learning Algorithms Cluster Analysis Data Collection
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On learning disentangled representations for individual treatment effect estimation.

Journal of biomedical informatics Oct 30, 2021
OBJECTIVE: Estimating the individualized treatment effect (ITE) from observational data is a challenging task due to selection bias, which results from the distributional discrepancy between different treatment groups caused by the dependence between...
Machine Learning Prognosis Learning Bias Selection Bias
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Estimating redundancy in clinical text.

Journal of biomedical informatics Oct 23, 2021
The current mode of use of Electronic Health Records (EHR) elicits text redundancy. Clinicians often populate new documents by duplicating existing notes, then updating accordingly. Data duplication can lead to propagation of errors, inconsistencies ...
Electronic Health Records Language Narration Natural Language Processing Semantics
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A practical approach towards causality mining in clinical text using active transfer learning.

Journal of biomedical informatics Oct 8, 2021
OBJECTIVE: Causality mining is an active research area, which requires the application of state-of-the-art natural language processing techniques. In the healthcare domain, medical experts create clinical text to overcome the limitation of well-defin...
Machine Learning Natural Language Processing Data Mining Semantics
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