AIMC Topic: Natural Language Processing

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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Soc...
Machine Learning Social Media Natural Language Processing Humans Neural Networks, Computer Drug-Related Side Effects and Adverse Reactions Pharmacovigilance
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Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specific populations such as persons living with HIV or pregnant women.
Machine Learning Neoplasms Natural Language Processing Humans Clinical Trials as Topic Eligibility Determination Patient Selection HIV Seropositivity Datasets as Topic
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MetaMap Lite: an evaluation of a new Java implementation of MetaMap.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
MetaMap is a widely used named entity recognition tool that identifies concepts from the Unified Medical Language System Metathesaurus in text. This study presents MetaMap Lite, an implementation of some of the basic MetaMap functions in Java. On sev...
Software Algorithms Information Storage and Retrieval Natural Language Processing Unified Medical Language System
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Automatic health record review to help prioritize gravely ill Social Security disability applicants.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: Every year, thousands of patients die waiting for disability benefits from the Social Security Administration. Some qualify for expedited service under the Compassionate Allowance (CAL) initiative, but CAL software focuses exclusively on i...
Persons with Disabilities United States Decision Trees Critical Illness Electronic Health Records ROC Curve Eligibility Determination Insurance, Disability Social Security Humans Natural Language Processing Disability Evaluation Information Storage and Retrieval
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nala: text mining natural language mutation mentions.

Bioinformatics (Oxford, England) Jun 15, 2017
MOTIVATION: The extraction of sequence variants from the literature remains an important task. Existing methods primarily target standard (ST) mutation mentions (e.g. 'E6V'), leaving relevant mentions natural language (NL) largely untapped (e.g. 'glu...
PubMed Data Mining Humans Software Unsupervised Machine Learning Natural Language Processing Mutation
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Feasibility and Utility of Lexical Analysis for Occupational Health Text.

Journal of occupational and environmental medicine Jun 1, 2017
OBJECTIVE: Assess feasibility and potential utility of natural language processing (NLP) for storing and analyzing occupational health data.
Humans Occupational Exposure Natural Language Processing Occupational Injuries Terminology as Topic Feasibility Studies Unified Medical Language System Data Mining Mining Occupational Health
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Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing.

Journal of digital imaging Jun 1, 2017
We built a natural language processing (NLP) method to automatically extract clinical findings in radiology reports and characterize their level of change and significance according to a radiology-specific information model. We utilized a combination...
Natural Language Processing Radiography Radiology Research Report Semantics Medical Records Humans Machine Learning Clinical Decision-Making
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Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis.

American journal of speech-language pathology May 17, 2017
PURPOSE: This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences...
Language Development Disorders Mother-Child Relations Tape Recording Humans Vocabulary Male Social Environment Natural Language Processing Child, Preschool Semantics Socioeconomic Factors Female Verbal Behavior Educational Status Communication
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A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2017
OBJECTIVE: The goal of this study was to develop a practical framework for recognizing and disambiguating clinical abbreviations, thereby improving current clinical natural language processing (NLP) systems' capability to handle abbreviations in clin...
Electronic Health Records Humans Abbreviations as Topic Natural Language Processing Machine Learning Patient Discharge
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Congestive heart failure information extraction framework for automated treatment performance measures assessment.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2017
OBJECTIVE: This paper describes a new congestive heart failure (CHF) treatment performance measure information extraction system - CHIEF - developed as part of the Automated Data Acquisition for Heart Failure project, a Veterans Health Administration...
Hospitals, Veterans Cardiotonic Agents Humans Electronic Health Records Heart Failure Machine Learning Ventricular Function, Left Information Storage and Retrieval Natural Language Processing
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