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

Showing 411 to 420 of 493 articles

Medical knowledge infused convolutional neural networks for cohort selection in clinical trials.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In this era of digitized health records, there has been a marked interest in using de-identified patient records for conducting various health related surveys. To assist in this research effort, we developed a novel clinical data represent...
Patient Selection Data Mining Clinical Trials as Topic Humans Neural Networks, Computer Deep Learning Support Vector Machine Natural Language Processing
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Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: We assessed whether machine learning can be utilized to allow efficient extraction of infectious disease activity information from online media reports.
User-Computer Interface Information Storage and Retrieval Humans Population Surveillance Databases, Factual Machine Learning Natural Language Processing Global Health Communicable Diseases Disease Outbreaks
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Cohort selection for clinical trials using hierarchical neural network.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Cohort selection for clinical trials is a key step for clinical research. We proposed a hierarchical neural network to determine whether a patient satisfied selection criteria or not.
Data Mining Machine Learning Clinical Trials as Topic Electronic Health Records Electronic Data Processing Natural Language Processing Humans Mental Health Patient Selection Neural Networks, Computer
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Clinical trial cohort selection based on multi-level rule-based natural language processing system.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Identifying patients who meet selection criteria for clinical trials is typically challenging and time-consuming. In this article, we describe our clinical natural language processing (NLP) system to automatically assess patients' eligibil...
Humans Clinical Trials as Topic Natural Language Processing Neural Networks, Computer Patient Selection Deep Learning Data Mining
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Cost-aware active learning for named entity recognition in clinical text.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most informative examples for annotation. Most approaches tacitly (and unrealistically) assume that the cost for annotating each sample is identical. This ...
Natural Language Processing Computer Simulation Humans Electronic Health Records Models, Economic Algorithms Big Data Information Storage and Retrieval
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Enhancing clinical concept extraction with contextual embeddings.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Neural network-based representations ("embeddings") have dramatically advanced natural language processing (NLP) tasks, including clinical NLP tasks such as concept extraction. Recently, however, more advanced embedding methods and represe...
Information Storage and Retrieval Big Data Public Reporting of Healthcare Data Natural Language Processing Humans Neural Networks, Computer Databases, Factual
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CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: This article presents a novel method of semisupervised learning using convolutional autoencoders for optical endomicroscopic images. Optical endomicroscopy (OE) is a newly emerged biomedical imaging modality that can support real-time clin...
Barrett Esophagus Esophagoscopy Algorithms Diagnosis, Computer-Assisted Microscopy, Confocal Esophagus Supervised Machine Learning Datasets as Topic Humans
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Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Our objective is to develop algorithms for encoding clinical text into representations that can be used for a variety of phenotyping tasks.
Neural Networks, Computer Algorithms Electronic Health Records Humans Substance-Related Disorders Datasets as Topic Information Storage and Retrieval Deep Learning Big Data Natural Language Processing Clinical Coding
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ML-Net: multi-label classification of biomedical texts with deep neural networks.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In multi-label text classification, each textual document is assigned 1 or more labels. As an important task that has broad applications in biomedicine, a number of different computational methods have been proposed. Many of these methods,...
Benchmarking Deep Learning Neural Networks, Computer Data Mining Computational Biology Classification Machine Learning Natural Language Processing
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Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: HIV infection risk can be estimated based on not only individual features but also social network information. However, there have been insufficient studies using n machine learning methods that can maximize the utility of such information...
Male Adolescent HIV Infections Humans Prospective Studies Sexual Partners Neural Networks, Computer Models, Theoretical Young Adult Disease Transmission, Infectious Machine Learning Models, Statistical Adult Social Networking Homosexuality, Male
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