AIMC Topic: Narration
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Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource.
PloS one
Sep 19, 2016
Biomedical literature articles and narrative content from Electronic Health Records (EHRs) both constitute rich sources of disease-phenotype information. Phenotype concepts may be mentioned in text in multiple ways, using phrases with a variety of st...
Automated Assessment of Patients' Self-Narratives for Posttraumatic Stress Disorder Screening Using Natural Language Processing and Text Mining.
Assessment
Jul 28, 2016
Patients' narratives about traumatic experiences and symptoms are useful in clinical screening and diagnostic procedures. In this study, we presented an automated assessment system to screen patients for posttraumatic stress disorder via a natural la...
A new algorithmic approach for the extraction of temporal associations from clinical narratives with an application to medical product safety surveillance reports.
Journal of biomedical informatics
Jun 17, 2016
The sheer volume of textual information that needs to be reviewed and analyzed in many clinical settings requires the automated retrieval of key clinical and temporal information. The existing natural language processing systems are often challenged ...
PDF text classification to leverage information extraction from publication reports.
Journal of biomedical informatics
Apr 1, 2016
OBJECTIVES: Data extraction from original study reports is a time-consuming, error-prone process in systematic review development. Information extraction (IE) systems have the potential to assist humans in the extraction task, however majority of IE ...
Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.
Journal of biomedical informatics
Oct 24, 2015
Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.
BMC medical informatics and decision making
Oct 6, 2015
BACKGROUND: We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the impact of the 2009 influenza p...
Creation of a new longitudinal corpus of clinical narratives.
Journal of biomedical informatics
Oct 1, 2015
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured a new longitudinal corpus of 1304 records representing 296 diabetic patients. The corpus contains three cohorts: patients who have a diagnosis of coronary artery disease (C...
A context-aware approach for progression tracking of medical concepts in electronic medical records.
Journal of biomedical informatics
Sep 30, 2015
Electronic medical records (EMRs) for diabetic patients contain information about heart disease risk factors such as high blood pressure, cholesterol levels, and smoking status. Discovering the described risk factors and tracking their progression ov...
Disease Progression
Vocabulary, Controlled
Confidentiality
Male
Comorbidity
Diabetes Complications
Data Mining
Humans
Cardiovascular Diseases
Electronic Health Records
Middle Aged
Pattern Recognition, Automated
Female
Risk Assessment
Computer Security
Aged
Longitudinal Studies
Taiwan
Narration
Natural Language Processing
Incidence
Cohort Studies
Hidden Markov model using Dirichlet process for de-identification.
Journal of biomedical informatics
Sep 25, 2015
For the 2014 i2b2/UTHealth de-identification challenge, we introduced a new non-parametric Bayesian hidden Markov model using a Dirichlet process (HMM-DP). The model intends to reduce task-specific feature engineering and to generalize well to new da...
Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.
Journal of biomedical informatics
Sep 12, 2015
The second track of the 2014 i2b2 challenge asked participants to automatically identify risk factors for heart disease among diabetic patients using natural language processing techniques for clinical notes. This paper describes a rule-based system ...
Middle Aged
Risk Assessment
Comorbidity
Incidence
Narration
Natural Language Processing
Coronary Artery Disease
Cohort Studies
Longitudinal Studies
Electronic Health Records
Female
Ohio
Aged
Humans
Male
Unified Medical Language System
Confidentiality
Computer Security
Data Mining
Vocabulary, Controlled
Pattern Recognition, Automated
Diabetes Complications
Terminology as Topic
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