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Clinical Trials as Topic

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Cohort selection for clinical trials using deep learning models.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track 1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural langu...
Clinical Trials as Topic Patient Selection Data Mining Humans Neural Networks, Computer Deep Learning Natural Language Processing
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Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might sol...
Humans Machine Learning Deep Learning Neural Networks, Computer Classification Patient Selection Logistic Models Data Mining Natural Language Processing Clinical Trials as Topic
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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...
Humans Data Mining Deep Learning Clinical Trials as Topic Support Vector Machine Natural Language Processing Neural Networks, Computer Patient Selection
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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 Clinical Trials as Topic Natural Language Processing Humans Electronic Health Records Patient Selection Neural Networks, Computer Machine Learning Mental Health Electronic Data Processing
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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...
Neural Networks, Computer Deep Learning Natural Language Processing Humans Clinical Trials as Topic Patient Selection 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...
Clinical Trials as Topic Machine Learning Humans Natural Language Processing Data Mining Patient Selection Pattern Recognition, Automated
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Optimizing clinical trials recruitment via deep learning.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Clinical trials, prospective research studies on human participants carried out by a distributed team of clinical investigators, play a crucial role in the development of new treatments in health care. This is a complex and expensive proce...
Databases, Factual Electronic Health Records Deep Learning Humans Research Personnel Patient Selection Data Mining Clinical Trials as Topic Insurance Claim Reporting
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Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed.

Nature medicine Oct 1, 2019
Artificial Intelligence United States Clinical Trials as Topic United States Food and Drug Administration Guidelines as Topic Humans
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Digital health.

Nature Sep 1, 2019
Delivery of Health Care Humans Clinical Trials as Topic Artificial Intelligence
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Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning.

Drug safety Sep 1, 2019
INTRODUCTION: Adverse event (AE) under-reporting has been a recurrent issue raised during health authorities Good Clinical Practices (GCP) inspections and audits. Moreover, safety under-reporting poses a risk to patient safety and data integrity. The...
Information Technology Humans Machine Learning Quality Assurance, Health Care Models, Theoretical Clinical Trials as Topic
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