AIMC Topic: Prevalence

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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...
Pediatric Obesity Overweight Body Mass Index Vitamin D Deficiency Calcifediol Humans Adiposity Biomarkers Prevalence Female Adolescent Nutritional Status Cross-Sectional Studies Child Risk Male Nutrition Surveys 25-Hydroxyvitamin D 2 Diet United States Adolescent Nutritional Physiological Phenomena Child Nutritional Physiological Phenomena
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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...
Triglycerides Cohort Studies Logistic Models United States Diabetes Mellitus Natural Language Processing Biopsy Non-alcoholic Fatty Liver Disease Data Collection Alanine Transaminase Aspartate Aminotransferases Female International Classification of Diseases Humans Aged Algorithms Adult Electronic Health Records Male Middle Aged Prevalence
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Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes.

Methods of information in medicine Nov 4, 2015
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare".
Datasets as Topic Utah Urinary Catheterization Hospitals, Veterans Vocabulary, Controlled Decision Support Systems, Clinical Natural Language Processing Catheter-Related Infections Urinary Tract Infections Data Mining Humans Machine Learning Algorithms Electronic Health Records Risk Assessment Prevalence
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Pregnancy risk factors in autism: a pilot study with artificial neural networks.

Pediatric research Nov 2, 2015
BACKGROUND: Autism is a multifactorial condition in which a single risk factor can unlikely provide comprehensive explanation for the disease origin. Moreover, due to the complexity of risk factors interplay, traditional statistics is often unable to...
Female Risk Factors Adult Male Risk Assessment Prevalence Humans Neural Networks, Computer Algorithms Pregnancy Italy Chi-Square Distribution Autistic Disorder Pregnancy Complications Multivariate Analysis Odds Ratio Case-Control Studies Pilot Projects Adolescent Child Logistic Models
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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...
Humans Machine Learning Databases, Factual Natural Language Processing Influenza, Human Seasons Data Mining Pattern Recognition, Automated Vocabulary, Controlled Risk Assessment Prevalence United States Population Surveillance Social Media Search Engine Database Management Systems
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Prevalence of vitamin D deficiency in adults presenting for bariatric surgery in Lebanon.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery Oct 1, 2015
BACKGROUND: Vitamin D deficiency is common among obese patients presenting for bariatric surgery in Europe and North America. The prevalence of vitamin D deficiency in this patient population in Lebanon and the Middle East has not been studied.
Vitamin D Deficiency Follow-Up Studies Adult Bariatric Surgery Humans Male Obesity, Morbid Retrospective Studies Middle Aged Lebanon Prevalence Female Adolescent Aged Vitamin D Young Adult
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Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.

International journal of medical informatics Sep 14, 2015
INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned hospital readmissions and multiple models have been developed over the years to predict them. Most r...
Pattern Recognition, Automated Vocabulary, Controlled Health Information Exchange Models, Statistical Natural Language Processing Feasibility Studies Data Mining Patient Readmission Humans Computer Simulation Reproducibility of Results Sensitivity and Specificity Prevalence
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A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Computer methods and programs in biomedicine Jul 18, 2015
Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49 years (who have a family history of breast cancer or other related cancers) to assess their personal risk for developing familial breast cancer (FBC)...
Risk Assessment Prevalence Diagnosis, Computer-Assisted Decision Support Systems, Clinical Genetic Predisposition to Disease Fuzzy Logic Reproducibility of Results Aged Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Humans Machine Learning Precision Medicine Female
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Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Journal of Korean medical science Jul 15, 2015
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented with epidemiologic data, the women could easily assess breast cancer risk using internet. National Ca...
Women's Health Aged Aged, 80 and over Humans Adult Machine Learning Sensitivity and Specificity Republic of Korea Breast Neoplasms Middle Aged Female Reproducibility of Results Risk Assessment Risk Factors Prevalence Diagnosis, Computer-Assisted Early Detection of Cancer Pattern Recognition, Automated
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Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm.

PloS one Jul 8, 2015
Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen lineages. Mycobacterium tuberculosis complex taxonomy has rapidly evolved in the last 20 years through intensive clinical isolation, advances in sequ...
Algorithms Prevalence Genomics Polymorphism, Single Nucleotide Genotype Computational Biology DNA, Bacterial Databases, Genetic Cluster Analysis Internet Tuberculosis Machine Learning Mycobacterium tuberculosis Polymerase Chain Reaction Molecular Epidemiology Polymorphism, Restriction Fragment Length Bacterial Typing Techniques
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