AIMC Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 251 to 260 of 493 articles

Predicting brain function status changes in critically ill patients via Machine learning.

Journal of the American Medical Informatics Association : JAMIA Oct 12, 2021
OBJECTIVE: In intensive care units (ICUs), a patient's brain function status can shift from a state of acute brain dysfunction (ABD) to one that is ABD-free and vice versa, which is challenging to forecast and, in turn, hampers the allocation of hosp...
Adult Intensive Care Units Humans Critical Illness Machine Learning Brain Prospective Studies
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Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.

Journal of the American Medical Informatics Association : JAMIA Oct 12, 2021
OBJECTIVES: To assess fairness and bias of a previously validated machine learning opioid misuse classifier.
Humans Machine Learning Hispanic or Latino Opioid-Related Disorders Natural Language Processing Electronic Health Records
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Trading off accuracy and explainability in AI decision-making: findings from 2 citizens' juries.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: To investigate how the general public trades off explainability versus accuracy of artificial intelligence (AI) systems and whether this differs between healthcare and non-healthcare scenarios.
Decision Making Artificial Intelligence Humans Delivery of Health Care Community Participation
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MT-clinical BERT: scaling clinical information extraction with multitask learning.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: Clinical notes contain an abundance of important, but not-readily accessible, information about patients. Systems that automatically extract this information rely on large amounts of training data of which there exists limited resources to...
Humans Natural Language Processing Language Information Storage and Retrieval
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Machine learning for initial insulin estimation in hospitalized patients.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: The study sought to determine whether machine learning can predict initial inpatient total daily dose (TDD) of insulin from electronic health records more accurately than existing guideline-based dosing recommendations.
Insulin Humans Electronic Health Records Machine Learning Inpatients ROC Curve
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Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: : Developing clinical natural language processing systems often requires access to many clinical documents, which are not widely available to the public due to privacy and security concerns. To address this challenge, we propose to develop...
Natural Language Processing Information Storage and Retrieval Algorithms
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DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: Research on pharmacovigilance from social media data has focused on mining adverse drug events (ADEs) using annotated datasets, with publications generally focusing on 1 of 3 tasks: ADE classification, named entity recognition for identify...
Pharmacovigilance Drug-Related Side Effects and Adverse Reactions Humans Social Media Deep Learning
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Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: We propose an interpretable disease prediction model that efficiently fuses multiple types of patient records using a self-attentive fusion encoder. We assessed the model performance in predicting cardiovascular disease events, given the r...
Humans Delivery of Health Care Electronic Health Records Machine Learning Neural Networks, Computer Attention
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Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning.

Journal of the American Medical Informatics Association : JAMIA Aug 13, 2021
OBJECTIVE: Rheumatic heart disease (RHD) affects an estimated 39 million people worldwide and is the most common acquired heart disease in children and young adults. Echocardiograms are the gold standard for diagnosis of RHD, but there is a shortage ...
Rheumatic Heart Disease Deep Learning Early Diagnosis Mass Screening Child Humans Young Adult Echocardiography
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Biomedical and clinical English model packages for the Stanza Python NLP library.

Journal of the American Medical Informatics Association : JAMIA Aug 13, 2021
OBJECTIVE: The study sought to develop and evaluate neural natural language processing (NLP) packages for the syntactic analysis and named entity recognition of biomedical and clinical English text.
Neural Networks, Computer Language Natural Language Processing
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