AIMC Topic: Confidentiality

Clear Filters Showing 101 to 110 of 177 articles

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...
Newfoundland and Labrador Data Mining Markov Chains Pattern Recognition, Automated Computer Security Vocabulary, Controlled Machine Learning Computer Simulation Electronic Health Records Cohort Studies Models, Statistical Narration Natural Language Processing Confidentiality
View on PubMed DOI

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 ...
Humans Electronic Health Records Female Aged Male Narration Natural Language Processing Coronary Artery Disease Confidentiality Data Mining Pattern Recognition, Automated Middle Aged Risk Assessment Comorbidity Incidence Cohort Studies Longitudinal Studies Terminology as Topic Unified Medical Language System Computer Security Vocabulary, Controlled Ohio Diabetes Complications
View on PubMed DOI

A hybrid model for automatic identification of risk factors for heart disease.

Journal of biomedical informatics Sep 12, 2015
Coronary artery disease (CAD) is the leading cause of death in both the UK and worldwide. The detection of related risk factors and tracking their progress over time is of great importance for early prevention and treatment of CAD. This paper describ...
Pattern Recognition, Automated Middle Aged Computer Security Risk Assessment Vocabulary, Controlled Humans Comorbidity Narration Incidence Electronic Health Records Natural Language Processing Cohort Studies Female Coronary Artery Disease Longitudinal Studies Aged Confidentiality Male Data Mining United Kingdom
View on PubMed DOI

An automatic system to identify heart disease risk factors in clinical texts over time.

Journal of biomedical informatics Sep 8, 2015
Despite recent progress in prediction and prevention, heart disease remains a leading cause of death. One preliminary step in heart disease prediction and prevention is risk factor identification. Many studies have been proposed to identify risk fact...
Aged Male Cardiovascular Diseases Middle Aged Risk Assessment Comorbidity Humans Electronic Health Records Female Confidentiality Data Mining Pattern Recognition, Automated Computer Security Vocabulary, Controlled Diabetes Complications China Incidence Cohort Studies Longitudinal Studies Narration Natural Language Processing
View on PubMed DOI

Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Journal of biomedical informatics Aug 28, 2015
Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors can be used to predict CAD, which may subsequently lead to prevention or early intervention. Patient data such as co-morbidities, medication history,...
Longitudinal Studies Narration Natural Language Processing Cardiovascular Diseases Confidentiality Computer Security Humans Middle Aged Data Mining Vocabulary, Controlled Electronic Health Records Risk Assessment Pattern Recognition, Automated Diabetes Complications Female Comorbidity New South Wales Aged Incidence Male Cohort Studies
View on PubMed DOI

Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus.

Journal of biomedical informatics Aug 28, 2015
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on the de-identification of longitudinal medical records. For this track, we de-identified a set of 1304 longitudinal medical records describing 296 patients. Thi...
Pattern Recognition, Automated Narration Computer Security Natural Language Processing Vocabulary, Controlled Electronic Health Records Confidentiality Cohort Studies Data Mining Documentation
View on PubMed DOI

Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

Journal of biomedical informatics Aug 28, 2015
The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk factors such as high blood pressure, high cholesterol levels, obesity and smoking status among other factors found in health records of diabetic patients...
Diabetes Complications Humans Electronic Health Records Female Data Mining Utah Pattern Recognition, Automated Incidence Aged Computer Security Cohort Studies Vocabulary, Controlled Male Longitudinal Studies Cardiovascular Diseases Narration Middle Aged Natural Language Processing Risk Assessment Confidentiality Comorbidity
View on PubMed DOI

CRFs based de-identification of medical records.

Journal of biomedical informatics Aug 24, 2015
De-identification is a shared task of the 2014 i2b2/UTHealth challenge. The purpose of this task is to remove protected health information (PHI) from medical records. In this paper, we propose a novel de-identifier, WI-deId, based on conditional rand...
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

Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

Journal of biomedical informatics Aug 21, 2015
We present the design, and analyze the performance of a multi-stage natural language processing system employing named entity recognition, Bayesian statistics, and rule logic to identify and characterize heart disease risk factor events in diabetic p...
Semantics Longitudinal Studies Pattern Recognition, Automated Humans Middle Aged Computer Security Models, Statistical Electronic Health Records Risk Assessment Vocabulary, Controlled Narration Female Comorbidity Diabetes Complications Natural Language Processing Aged Incidence Wisconsin Confidentiality Male Cohort Studies Data Mining Cardiovascular Diseases
View on PubMed DOI

Risk factor detection for heart disease by applying text analytics in electronic medical records.

Journal of biomedical informatics Aug 14, 2015
In the United States, about 600,000 people die of heart disease every year. The annual cost of care services, medications, and lost productivity reportedly exceeds 108.9 billion dollars. Effective disease risk assessment is critical to prevention, ca...
California Computer Security Vocabulary, Controlled Diabetes Complications Longitudinal Studies Humans Electronic Health Records Middle Aged Narration Female Risk Assessment Natural Language Processing Aged Comorbidity Confidentiality Male Incidence Data Mining Cardiovascular Diseases Cohort Studies Pattern Recognition, Automated
View on PubMed DOI
Popular Topics
Recent Journals