AIMC Topic: Electronic Health Records

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NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.

International journal of medical informatics Jul 2, 2015
BACKGROUND: In order to proactively manage congestive heart failure (CHF) patients, an effective CHF case finding algorithm is required to process both structured and unstructured electronic medical records (EMR) to allow complementary and cost-effic...
Electronic Health Records Reproducibility of Results Sensitivity and Specificity Prevalence Decision Support Systems, Clinical Natural Language Processing Heart Failure Data Mining Pattern Recognition, Automated Vocabulary, Controlled Maine Humans Algorithms Prospective Studies
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Combining glass box and black box evaluations in the identification of heart disease risk factors and their temporal relations from clinical records.

Journal of biomedical informatics Jul 2, 2015
BACKGROUND: The determination of risk factors and their temporal relations in natural language patient records is a complex task which has been addressed in the i2b2/UTHealth 2014 shared task. In this context, in most systems it was broadly decompose...
Male Cardiovascular Diseases Middle Aged Risk Assessment Comorbidity Incidence Humans Algorithms Electronic Health Records Female Aged Data Mining Pattern Recognition, Automated France Cohort Studies Computer Security Longitudinal Studies Vocabulary, Controlled Narration Diabetes Complications Natural Language Processing Confidentiality
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On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.

Journal of biomedical informatics Jun 30, 2015
The advances achieved in Natural Language Processing make it possible to automatically mine information from electronically created documents. Many Natural Language Processing methods that extract information from texts make use of annotated corpora,...
Data Mining Pharmacovigilance Automation Adverse Drug Reaction Reporting Systems Linguistics Translating Language Reproducibility of Results Predictive Value of Tests Natural Language Processing Pharmaceutical Preparations Drug-Related Side Effects and Adverse Reactions Machine Learning Algorithms Electronic Health Records
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Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Journal of biomedical informatics Jun 29, 2015
Heart disease is the leading cause of death globally and a significant part of the human population lives with it. A number of risk factors have been recognized as contributing to the disease, including obesity, coronary artery disease (CAD), hyperte...
Humans United Kingdom Cohort Studies Semantics Electronic Health Records Cardiovascular Diseases Longitudinal Studies Diabetes Complications Pattern Recognition, Automated Female Middle Aged Narration Computer Security Aged Risk Assessment Natural Language Processing Vocabulary, Controlled Male Comorbidity Confidentiality Incidence Data Mining
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The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs.

Journal of biomedical informatics Jun 26, 2015
This paper describes a supervised machine learning approach for identifying heart disease risk factors in clinical text, and assessing the impact of annotation granularity and quality on the system's ability to recognize these risk factors. We utiliz...
Supervised Machine Learning Data Mining Pattern Recognition, Automated Computer Security Vocabulary, Controlled Diabetes Complications Maryland Longitudinal Studies Narration Humans Natural Language Processing Middle Aged Electronic Health Records Coronary Artery Disease Female Risk Assessment Confidentiality Aged Comorbidity Male Incidence Cohort Studies
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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Journal of biomedical informatics Jun 26, 2015
De-identification, identifying and removing all protected health information (PHI) present in clinical data including electronic medical records (EMRs), is a critical step in making clinical data publicly available. The 2014 i2b2 (Center of Informati...
Computer Security Vocabulary, Controlled Natural Language Processing Data Interpretation, Statistical Confidentiality Data Mining Pattern Recognition, Automated Electronic Health Records China Cohort Studies Narration
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SNOMED CT in a language isolate: an algorithm for a semiautomatic translation.

BMC medical informatics and decision making Jun 15, 2015
BACKGROUND: The Systematized Nomenclature of Medicine--Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatical...
Automation Humans Systematized Nomenclature of Medicine Algorithms Translating Electronic Health Records Language Natural Language Processing
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Using natural language processing to provide personalized learning opportunities from trainee clinical notes.

Journal of biomedical informatics Jun 10, 2015
OBJECTIVE: Assessment of medical trainee learning through pre-defined competencies is now commonplace in schools of medicine. We describe a novel electronic advisor system using natural language processing (NLP) to identify two geriatric medicine com...
Humans Software Algorithms Mental Disorders Students, Medical Middle Aged Clinical Competence User-Computer Interface Educational Measurement Natural Language Processing Electronic Health Records Geriatrics Learning Reproducibility of Results Aged Tennessee Advance Directives Outcome Assessment, Health Care Clinical Clerkship Academic Medical Centers Education, Medical Automation Hospitals, Veterans
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Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

Infection control and hospital epidemiology May 29, 2015
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an electronic surveillance system augmented with natural language processing (NLP), which gathers data ...
Intensive Care Units Documentation Electronic Health Records Predictive Value of Tests Pilot Projects Natural Language Processing Humans Computer Systems Algorithms Catheter-Related Infections Population Surveillance Catheters, Indwelling Tertiary Care Centers Urinary Tract Infections
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Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Journal of biomedical informatics May 21, 2015
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm...
Male Middle Aged Risk Assessment Comorbidity Incidence Cohort Studies Diabetes Complications Humans Boston Electronic Health Records Female Data Mining Aged Longitudinal Studies Documentation Narration New York Natural Language Processing Pattern Recognition, Automated Coronary Artery Disease Computer Security Confidentiality Vocabulary, Controlled
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