AIMC Journal:
Journal of biomedical informatics

Showing 261 to 270 of 650 articles

A scalable approach for developing clinical risk prediction applications in different hospitals.

Journal of biomedical informatics Apr 20, 2021
OBJECTIVE: Machine learning (ML) algorithms are now widely used in predicting acute events for clinical applications. While most of such prediction applications are developed to predict the risk of a particular acute event at one hospital, few effort...
Machine Learning Electronic Health Records Humans ROC Curve Hospitalization Hospitals
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Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be.

Journal of biomedical informatics Apr 14, 2021
Understanding a patient's medical history, such as how long symptoms last or when a procedure was performed, is vital to diagnosing problems and providing good care. Frequently, important information regarding a patient's medical timeline is buried i...
Humans Problem Solving Electronic Health Records Time Natural Language Processing
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Identification of pediatric respiratory diseases using a fine-grained diagnosis system.

Journal of biomedical informatics Apr 6, 2021
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper respiratory tract infection (RTI), are among the most common diseases in clinics. The similarities among the symptoms of these diseases precludes prompt diagnosis upon the patie...
Humans Child Algorithms Hospitalization Deep Learning
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A knowledge base of clinical trial eligibility criteria.

Journal of biomedical informatics Apr 1, 2021
OBJECTIVE: We present the Clinical Trial Knowledge Base, a regularly updated knowledge base of discrete clinical trial eligibility criteria equipped with a web-based user interface for querying and aggregate analysis of common eligibility criteria.
Knowledge Bases Electronic Health Records Algorithms Humans Natural Language Processing Clinical Trials as Topic Databases, Factual
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Safety-driven design of machine learning for sepsis treatment.

Journal of biomedical informatics Mar 30, 2021
Machine learning (ML) has the potential to bring significant clinical benefits. However, there are patient safety challenges in introducing ML in complex healthcare settings and in assuring the technology to the satisfaction of the different regulato...
Machine Learning Humans Sepsis Delivery of Health Care Workflow
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A random forest method with feature selection for developing medical prediction models with clustered and longitudinal data.

Journal of biomedical informatics Mar 26, 2021
BACKGROUND: Machine learning methodologies are gaining popularity for developing medical prediction models for datasets with a large number of predictors, particularly in the setting of clustered and longitudinal data. Binary Mixed Model (BiMM) fores...
Computer Simulation Linear Models Machine Learning Algorithms
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ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes.

Journal of biomedical informatics Mar 25, 2021
OBJECTIVE: Identifying symptoms and characteristics highly specific to coronavirus disease 2019 (COVID-19) would improve the clinical and public health response to this pandemic challenge. Here, we describe a high-throughput approach - Concept-Wide A...
Humans Fever Pandemics Adult Symptom Assessment Cough Male COVID-19 Nucleic Acid Testing Middle Aged Natural Language Processing Ageusia COVID-19 United States Female
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Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance.

Journal of biomedical informatics Mar 24, 2021
COVID-19 was first discovered in December 2019 and has continued to rapidly spread across countries worldwide infecting thousands and millions of people. The virus is deadly, and people who are suffering from prior illnesses or are older than the age...
Forecasting COVID-19 Humans SARS-CoV-2 Algorithms Machine Learning
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Automatic phenotyping of electronical health record: PheVis algorithm.

Journal of biomedical informatics Mar 19, 2021
Electronic Health Records (EHRs) often lack reliable annotation of patient medical conditions. Phenorm, an automated unsupervised algorithm to identify patient medical conditions from EHR data, has been developed. PheVis extends PheNorm at the visit ...
Arthritis, Rheumatoid Natural Language Processing Algorithms Electronic Health Records Humans Machine Learning
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French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes.

Journal of biomedical informatics Mar 15, 2021
The context of medical conditions is an important feature to consider when processing clinical narratives. NegEx and its extension ConText became the most well-known rule-based systems that allow determining whether a medical condition is negated, hi...
Natural Language Processing Humans Algorithms Electronic Health Records Language
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