AIMC Topic: United States

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Low serum 25-hydroxyvitamin D concentrations are associated with total adiposity of children in the United States: National Health and Examination Survey 2005 to 2006.

Nutrition research (New York, N.Y.) Nov 6, 2015
A negative association between serum 25-hydroxyvitamn D (25[OH]D) concentrations and adiposity has been found in adults. We hypothesized that serum 25(OH)D concentrations of children would correlate positively with vitamin D intake and correlate nega...
Child Nutritional Physiological Phenomena Child Nutrition Surveys Nutritional Status Overweight Risk United States Male 25-Hydroxyvitamin D 2 Diet Adolescent Nutritional Physiological Phenomena Prevalence Body Mass Index Humans Adolescent Pediatric Obesity Vitamin D Deficiency Biomarkers Calcifediol Female Adiposity Cross-Sectional Studies
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Scaling Out and Evaluation of OBSecAn, an Automated Section Annotator for Semi-Structured Clinical Documents, on a Large VA Clinical Corpus.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
"Identifying and labeling" (annotating) sections improves the effectiveness of extracting information stored in the free text of clinical documents. OBSecAn, an automated ontology-based section annotator, was developed to identify and label sections ...
Humans Algorithms United States United States Department of Veterans Affairs Natural Language Processing Data Curation Reference Books, Medical
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Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
INTRODUCTION: Annual eye examinations are recommended for diabetic patients in order to detect diabetic retinopathy and other eye conditions that arise from diabetes. Medically underserved urban communities in the US have annual screening rates that ...
Diabetic Retinopathy Machine Learning Public Health Informatics Urban Population Humans Sensitivity and Specificity Retinal Diseases Safety-net Providers Nutrition Surveys Statistics as Topic United States Medically Underserved Area
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Development and Validation of an Algorithm to Identify Nonalcoholic Fatty Liver Disease in the Electronic Medical Record.

Digestive diseases and sciences Nov 4, 2015
BACKGROUND AND AIMS: Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Risk factors for NAFLD disease progression and liver-related outcomes remain incompletely understood due to the lack of computa...
Middle Aged Prevalence Cohort Studies Logistic Models United States Humans Female Algorithms Data Collection Aged Electronic Health Records Alanine Transaminase Adult Diabetes Mellitus Aspartate Aminotransferases Male Natural Language Processing International Classification of Diseases Biopsy Triglycerides Non-alcoholic Fatty Liver Disease
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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

PLoS computational biology Oct 29, 2015
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...
Database Management Systems Data Mining Pattern Recognition, Automated Databases, Factual Vocabulary, Controlled Risk Assessment Search Engine Prevalence Population Surveillance United States Humans Social Media Machine Learning Natural Language Processing Influenza, Human Seasons
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Long-term Effectiveness of Intensive Therapy in Chronic Stroke.

Neurorehabilitation and neural repair Oct 8, 2015
Background While recent clinical trials involving robot-assisted therapy have failed to show clinically significant improvement versus conventional therapy, it is possible that a broader strategy of intensive therapy-to include robot-assisted rehabil...
Humans Retrospective Studies Female Chronic Disease Robotics Stroke Exercise Therapy Hospitals, Veterans Stroke Rehabilitation Severity of Illness Index United States Aged Treatment Outcome Adult Longitudinal Studies Male Recovery of Function Middle Aged
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Information extraction from multi-institutional radiology reports.

Artificial intelligence in medicine Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Predictive Value of Tests Natural Language Processing Discriminant Analysis Radiographic Image Interpretation, Computer-Assisted Data Mining Electronic Health Records Reproducibility of Results United States Models, Theoretical Radiology Information Systems Medical Record Linkage Observer Variation Information Storage and Retrieval Semantics Pattern Recognition, Automated Humans Machine Learning Databases, Factual
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Humanitarian uses of drones and satellite imagery analysis: the promises and perils.

AMA journal of ethics Oct 1, 2015
Aircraft Military Personnel Internationality Altruism Satellite Imagery Police Humans United States Robotics
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Understanding Cognitive Performance During Robot-Assisted Surgery.

Urology Aug 5, 2015
OBJECTIVE: To understand cognitive function of an expert surgeon in various surgical scenarios while performing robot-assisted surgery.
Humans Male Surveys and Questionnaires United States Task Performance and Analysis Cognition Comprehension Robotics Mental Status Schedule Workload Surgical Procedures, Operative
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Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach.

Environmental science and pollution research international Jul 24, 2015
Ammonia emissions at the national level are frequently estimated by applying the emission inventory approach, which includes the use of emission factors, which are difficult and expensive to determine. Emission factors are therefore the subject of es...
Models, Theoretical Europe Principal Component Analysis Air Pollutants Ammonia Humans Neural Networks, Computer United States
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