AIMC Topic: Longitudinal Studies
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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...
Cardiovascular Diseases
Middle Aged
Risk Assessment
Comorbidity
Incidence
Humans
Electronic Health Records
Female
Aged
Male
Data Mining
United Kingdom
Semantics
Pattern Recognition, Automated
Computer Security
Vocabulary, Controlled
Cohort Studies
Longitudinal Studies
Narration
Natural Language Processing
Confidentiality
Diabetes Complications
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...
Cohort Studies
Male
Longitudinal Studies
Middle Aged
Narration
Risk Assessment
Humans
Natural Language Processing
Vocabulary, Controlled
Confidentiality
Comorbidity
Electronic Health Records
Coronary Artery Disease
Supervised Machine Learning
Incidence
Diabetes Complications
Female
Data Mining
Aged
Maryland
Pattern Recognition, Automated
Computer Security
Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.
Journal of affective disorders
Jun 10, 2015
BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to guide decisions about deployment. Early post-deployment identification can direct early interventions t...
Lack of association between anemia and renal disease progression in Chinese patients with type 2 diabetes.
Journal of diabetes investigation
Jun 3, 2015
AIMS/INTRODUCTION: Anemia has a close interaction with renal dysfunction in diabetes patients. More proof is still awaited on the relationship between anemia and the progression of renal disease in this population.
Development and validation of a brain maturation index using longitudinal neuroanatomical scans.
NeuroImage
May 30, 2015
BACKGROUND: Major psychiatric disorders are increasingly being conceptualized as 'neurodevelopmental', because they are associated with aberrant brain maturation. Several studies have hypothesized that a brain maturation index integrating patterns of...
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...
Vocabulary, Controlled
Diabetes Complications
Boston
Data Mining
Male
Documentation
Middle Aged
New York
Risk Assessment
Pattern Recognition, Automated
Comorbidity
Computer Security
Incidence
Natural Language Processing
Humans
Coronary Artery Disease
Cohort Studies
Electronic Health Records
Confidentiality
Longitudinal Studies
Female
Narration
Aged
Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.
International journal of methods in psychiatric research
May 21, 2015
The study objective was to apply machine learning methodologies to identify predictors of remission in a longitudinal sample of 296 adults with a primary diagnosis of obsessive compulsive disorder (OCD). Random Forests is an ensemble machine learning...
Variable importance and prediction methods for longitudinal problems with missing variables.
PloS one
Mar 27, 2015
We present prediction and variable importance (VIM) methods for longitudinal data sets containing continuous and binary exposures subject to missingness. We demonstrate the use of these methods for prognosis of medical outcomes of severe trauma patie...
The use of natural language processing of infusion notes to identify outpatient infusions.
Pharmacoepidemiology and drug safety
Nov 17, 2014
PURPOSE: Outpatient infusions are commonly missing in Veterans Health Affairs (VHA) pharmacy dispensing data sets. Currently, Healthcare Common Procedure Coding System (HCPCS) codes are used to identify outpatient infusions, but concerns exist if the...
Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.
European child & adolescent psychiatry
Aug 11, 2014
Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challenging. To assess the diagnostic predictive value of multiple types of data at the emergence of early-onset first-episode psychosis (FEP), various suppo...
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