AIMC Journal:
Journal of biomedical informatics

Showing 221 to 230 of 650 articles

Machine learning based predictive model for the analysis of sequence activity relationships using protein spectra and protein descriptors.

Journal of biomedical informatics Feb 7, 2022
Accurately establishing the connection between a protein sequence and its function remains a focal point within the field of protein engineering, especially in the context of predicting the effects of mutations. From this, there has been a continued ...
Machine Learning Software Proteins
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Fusion of sequential visits and medical ontology for mortality prediction.

Journal of biomedical informatics Feb 7, 2022
The goal of mortality prediction task is to predict the future death risk of patients according to their previous Electronic Healthcare Records (EHR). The main challenge of mortality prediction is how to design an accurate and robust predictive model...
Humans Neural Networks, Computer Forecasting Electronic Health Records
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The BMS-LM ontology for biomedical data reporting throughout the lifecycle of a research study: From data model to ontology.

Journal of biomedical informatics Feb 4, 2022
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim, data producers need to master data management and reporting through standard and rich metadata, as encouraged by open data initiatives such as the F...
Research Design Biomedical Research Animals Metadata Semantics Biological Ontologies Data Curation
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MedGCN: Medication recommendation and lab test imputation via graph convolutional networks.

Journal of biomedical informatics Jan 29, 2022
Laboratory testing and medication prescription are two of the most important routines in daily clinical practice. Developing an artificial intelligence system that can automatically make lab test imputations and medication recommendations can save co...
Humans Neural Networks, Computer Artificial Intelligence Learning
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Evaluating pointwise reliability of machine learning prediction.

Journal of biomedical informatics Jan 15, 2022
Interest in Machine Learning applications to tackle clinical and biological problems is increasing. This is driven by promising results reported in many research papers, the increasing number of AI-based software products, and by the general interest...
Artificial Intelligence Machine Learning Software Reproducibility of Results Hospital Mortality
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Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.

Journal of biomedical informatics Jan 7, 2022
OBJECTIVE: Social determinants of health (SDOH) are non-medical factors that can profoundly impact patient health outcomes. However, SDOH are rarely available in structured electronic health record (EHR) data such as diagnosis codes, and more commonl...
Humans Retrospective Studies Electronic Health Records Deep Learning Natural Language Processing Social Determinants of Health
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An annotated corpus from biomedical articles to construct a drug-food interaction database.

Journal of biomedical informatics Jan 7, 2022
MOTIVATION: While drug-food interaction (DFI) may undermine the efficacy and safety of drugs, DFI detection has been difficult because a well-organized database for DFI did not exist. To construct a DFI database and build a natural language processin...
Databases, Factual Natural Language Processing PubMed Data Mining Food-Drug Interactions Databases, Pharmaceutical
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CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.

Journal of biomedical informatics Jan 4, 2022
OBJECTIVE: This paper aims to propose knowledge-aware embedding, a critical tool for medical term normalization.
Machine Learning Language Natural Language Processing Semantics Unified Medical Language System
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AMMU: A survey of transformer-based biomedical pretrained language models.

Journal of biomedical informatics Dec 31, 2021
Transformer-based pretrained language models (PLMs) have started a new era in modern natural language processing (NLP). These models combine the power of transformers, transfer learning, and self-supervised learning (SSL). Following the success of th...
Language Biomedical Research Natural Language Processing
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Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.

Journal of biomedical informatics Dec 30, 2021
OBJECTIVE: Temporal electronic health records (EHRs) contain a wealth of information for secondary uses, such as clinical events prediction and chronic disease management. However, challenges exist for temporal data representation. We therefore sough...
Electronic Health Records Deep Learning PubMed
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