AIMC Journal:
Journal of biomedical informatics

Showing 361 to 370 of 650 articles

Deep learning predicts extreme preterm birth from electronic health records.

Journal of biomedical informatics Oct 31, 2019
OBJECTIVE: Models for predicting preterm birth generally have focused on very preterm (28-32 weeks) and moderate to late preterm (32-37 weeks) settings. However, extreme preterm birth (EPB), before the 28th week of gestational age, accounts for the m...
Infant, Extremely Premature Electronic Health Records International Classification of Diseases Deep Learning Infant, Newborn Datasets as Topic Humans Algorithms
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Using machine learning to selectively highlight patient information.

Journal of biomedical informatics Oct 29, 2019
BACKGROUND: Electronic medical record (EMR) systems need functionality that decreases cognitive overload by drawing the clinician's attention to the right data, at the right time. We developed a Learning EMR (LEMR) system that learns statistical mode...
Electronic Health Records Information Seeking Behavior Machine Learning Physicians Humans
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Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality.

Journal of biomedical informatics Oct 23, 2019
Ovarian cancer (OC) is a common cause of cancer death among women worldwide, so there is a pressing need to identify factors influencing OC mortality. Much OC patient clinical data is publicly accessible via the Broad Institute Cancer Genome Atlas (T...
Datasets as Topic Ovarian Neoplasms Survival Analysis Computational Biology Gene Expression Regulation, Neoplastic Computer Simulation Humans Female Machine Learning Disease Progression
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Ensembles of natural language processing systems for portable phenotyping solutions.

Journal of biomedical informatics Oct 23, 2019
BACKGROUND: Manually curating standardized phenotypic concepts such as Human Phenotype Ontology (HPO) terms from narrative text in electronic health records (EHRs) is time consuming and error prone. Natural language processing (NLP) techniques can fa...
Humans Electronic Health Records Reproducibility of Results Natural Language Processing Datasets as Topic Phenotype
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Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study.

Journal of biomedical informatics Oct 17, 2019
The domain of healthcare has always been flooded with a huge amount of complex data, coming in at a very fast-pace. A vast amount of data is generated in different sectors of healthcare industry: data from hospitals and healthcare providers, medical ...
Big Data Organizational Innovation Artificial Intelligence Algorithms Delivery of Health Care
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Associative attention networks for temporal relation extraction from electronic health records.

Journal of biomedical informatics Oct 15, 2019
Temporal relations are crucial in constructing a timeline over the course of clinical care, which can help medical practitioners and researchers track the progression of diseases, treatments and adverse reactions over time. Due to the rapid adoption ...
Natural Language Processing Data Mining Neural Networks, Computer Electronic Health Records Humans
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RedMed: Extending drug lexicons for social media applications.

Journal of biomedical informatics Oct 15, 2019
Social media has been identified as a promising potential source of information for pharmacovigilance. The adoption of social media data has been hindered by the massive and noisy nature of the data. Initial attempts to use social media data have rel...
Databases, Pharmaceutical Natural Language Processing Pharmaceutical Preparations Information Dissemination Data Mining Pharmacovigilance Humans Social Media
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PARS, a system combining semantic technologies with multiple criteria decision aiding for supporting antibiotic prescriptions.

Journal of biomedical informatics Oct 14, 2019
OBJECTIVE: Motivated by the well documented worldwide spread of adverse drug events, as well as the increased danger of antibiotic resistance (caused mainly by inappropriate prescribing and overuse), we propose a novel recommendation system for antib...
Machine Learning Anti-Bacterial Agents Humans Semantics Biological Ontologies Drug Prescriptions Decision Support Systems, Clinical Medical Informatics Inappropriate Prescribing
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Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients.

Journal of biomedical informatics Oct 13, 2019
OBJECTIVE: To comparatively evaluate a range of Natural Language Processing (NLP) approaches for Information Extraction (IE) of low-prevalence concepts in clinical notes on the example of decline of insulin therapy recommendation by patients.
Treatment Refusal Natural Language Processing User-Computer Interface Neural Networks, Computer Data Mining Insulin Electronic Health Records Diabetes Mellitus Humans Hypoglycemic Agents Support Vector Machine
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Deep representation learning for individualized treatment effect estimation using electronic health records.

Journal of biomedical informatics Oct 11, 2019
Utilizing clinical observational data to estimate individualized treatment effects (ITE) is a challenging task, as confounding inevitably exists in clinical data. Most of the existing models for ITE estimation tackle this problem by creating unbiased...
Humans Algorithms Deep Learning Heart Failure Datasets as Topic Prognosis Electronic Health Records
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