AIMC Topic: Natural Language Processing

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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 Deep Learning Data Mining Clinical Trials as Topic Support Vector Machine Natural Language Processing Humans Neural Networks, Computer
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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.
Global Health Disease Outbreaks Population Surveillance User-Computer Interface Humans Natural Language Processing Communicable Diseases Information Storage and Retrieval Machine Learning Databases, Factual
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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.
Clinical Trials as Topic Electronic Data Processing Natural Language Processing Patient Selection Data Mining Electronic Health Records Mental Health Humans Neural Networks, Computer Machine Learning
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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 Neural Networks, Computer Data Mining Natural Language Processing Deep Learning Clinical Trials as Topic Patient Selection
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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 ...
Information Storage and Retrieval Algorithms Computer Simulation Electronic Health Records Big Data Humans Natural Language Processing Models, Economic
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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...
Natural Language Processing Information Storage and Retrieval Public Reporting of Healthcare Data Neural Networks, Computer Databases, Factual Big Data 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.
Deep Learning Big Data Natural Language Processing Algorithms Electronic Health Records Clinical Coding Substance-Related Disorders Datasets as Topic Information Storage and Retrieval Humans Neural Networks, Computer
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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,...
Neural Networks, Computer Machine Learning Classification Natural Language Processing Deep Learning Benchmarking Computational Biology Data Mining
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Hybrid bag of approaches to characterize selection criteria for cohort identification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The 2018 National NLP Clinical Challenge (2018 n2c2) focused on the task of cohort selection for clinical trials, where participating systems were tasked with analyzing longitudinal patient records to determine if the patients met or did n...
Humans Clinical Trials as Topic Machine Learning Natural Language Processing Data Mining Patient Selection Pattern Recognition, Automated
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Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Natural language processing (NLP) engines such as the clinical Text Analysis and Knowledge Extraction System are a solution for processing notes for research, but optimizing their performance for a clinical data warehouse remains a challen...
Humans Machine Learning Patient Readmission Unified Medical Language System Electronic Health Records Vocabulary, Controlled Natural Language Processing Data Mining
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