AIMC Topic: Narration

Clear Filters Showing 81 to 90 of 130 articles

Combining knowledge- and data-driven methods for de-identification of clinical narratives.

Journal of biomedical informatics Jul 22, 2015
A recent promise to access unstructured clinical data from electronic health records on large-scale has revitalized the interest in automated de-identification of clinical notes, which includes the identification of mentions of Protected Health Infor...
United Kingdom Pattern Recognition, Automated Computer Security Vocabulary, Controlled Models, Statistical Narration Natural Language Processing Confidentiality Data Mining Machine Learning Computer Simulation Electronic Health Records Cohort Studies
View on PubMed DOI

Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge.

Journal of biomedical informatics Jul 22, 2015
This paper describes the use of an agile text mining platform (Linguamatics' Interactive Information Extraction Platform, I2E) to extract document-level cardiac risk factors in patient records as defined in the i2b2/UTHealth 2014 challenge. The appro...
Humans Middle Aged Risk Assessment Comorbidity Incidence Cohort Studies Electronic Health Records Female Aged Male Cardiovascular Diseases Diabetes Complications Data Mining United Kingdom Longitudinal Studies Pattern Recognition, Automated Narration Computer Security Natural Language Processing Vocabulary, Controlled Confidentiality
View on PubMed DOI

Challenges in clinical natural language processing for automated disorder normalization.

Journal of biomedical informatics Jul 14, 2015
BACKGROUND: Identifying key variables such as disorders within the clinical narratives in electronic health records has wide-ranging applications within clinical practice and biomedical research. Previous research has demonstrated reduced performance...
Humans Machine Learning Narration Software Natural Language Processing Electronic Health Records Vocabulary, Controlled
View on PubMed DOI

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...
Middle Aged Risk Assessment Comorbidity Pattern Recognition, Automated Incidence Humans France Cohort Studies Algorithms Computer Security Electronic Health Records Longitudinal Studies Vocabulary, Controlled Female Narration Diabetes Complications Aged Natural Language Processing Male Confidentiality Cardiovascular Diseases Data Mining
View on PubMed DOI

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...
Cohort Studies Longitudinal Studies Narration Natural Language Processing Confidentiality Cardiovascular Diseases Data Mining Middle Aged United Kingdom Vocabulary, Controlled Risk Assessment Semantics Diabetes Complications Comorbidity Electronic Health Records Pattern Recognition, Automated Incidence Computer Security Humans Female Aged Male
View on PubMed DOI

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...
Incidence Computer Security Cohort Studies Vocabulary, Controlled Longitudinal Studies Diabetes Complications Aged Narration Maryland Male Natural Language Processing Middle Aged Coronary Artery Disease Risk Assessment Confidentiality Comorbidity Humans Supervised Machine Learning Electronic Health Records Data Mining Female Pattern Recognition, Automated
View on PubMed DOI

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...
Data Interpretation, Statistical Confidentiality Data Mining Pattern Recognition, Automated Computer Security Vocabulary, Controlled Electronic Health Records China Cohort Studies Narration Natural Language Processing
View on PubMed DOI

Detection of sentence boundaries and abbreviations in clinical narratives.

BMC medical informatics and decision making Jun 15, 2015
BACKGROUND: In Western languages the period character is highly ambiguous, due to its double role as sentence delimiter and abbreviation marker. This is particularly relevant in clinical free-texts characterized by numerous anomalies in spelling, pun...
Information Storage and Retrieval Humans Medical Records Systems, Computerized Machine Learning Abbreviations as Topic Narration Natural Language Processing
View on PubMed DOI

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...
Cohort Studies Longitudinal Studies Narration Natural Language Processing Humans Coronary Artery Disease Electronic Health Records Middle Aged Female Risk Assessment Confidentiality Aged Computer Security Comorbidity Data Mining Male Vocabulary, Controlled Incidence Documentation Diabetes Complications New York Boston Pattern Recognition, Automated
View on PubMed DOI

Injury narrative text classification using factorization model.

BMC medical informatics and decision making May 20, 2015
Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promising technique, which can consequently redu...
Narration Humans Data Mining Machine Learning Medical Informatics Medical Records Wounds and Injuries
View on PubMed DOI
Popular Topics
Recent Journals