AIMC Topic: Longitudinal Studies

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Dietary antioxidants and 10-year lung function decline in adults from the ECRHS survey.

The European respiratory journal Dec 21, 2017
The relationship between lung function decline and dietary antioxidants over 10 years in adults from three European countries was investigated.In 2002, adults from three participating countries of the European Community Respiratory Health Survey (ECR...
Antioxidants Longitudinal Studies Europe Forced Expiratory Volume Lung Diseases Middle Aged Diet Lung Health Surveys Linear Models Smoking Multivariate Analysis Vital Capacity Humans Female Adult Male
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Removal of pharmaceutical compounds from urban wastewater by an advanced bio-oxidation process based on fungi Trametes versicolor immobilized in a continuous RBC system.

Environmental science and pollution research international Dec 20, 2017
Conventional wastewater treatment plants (WWTPs) are not able to remove completely some emerging contaminants, such as residual pharmaceutical compounds (PCs) with potential ecotoxicity to water bodies. An advanced bio-oxidation process (ABOP) using ...
Pharmaceutical Preparations Agaricales Sewage Trametes Waste Disposal, Fluid Longitudinal Studies Water Pollutants, Chemical Oxidation-Reduction Bioreactors Wastewater
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Persistent light to moderate alcohol intake and lung function: A longitudinal study.

Alcohol (Fayetteville, N.Y.) Sep 1, 2017
Alcohol intake has been inconsistently associated with lung function levels in cross-sectional studies. The goal of our study was to determine whether longitudinally assessed light-to-moderate alcohol intake is associated with levels and decline of l...
Cohort Studies Longitudinal Studies Follow-Up Studies Alcohol Drinking Spirometry Adult Male Middle Aged Lung Surveys and Questionnaires Humans Prospective Studies Female Aged
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Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach.

Scientific reports Aug 31, 2017
We developed and independently validated a rheumatoid arthritis (RA) mortality prediction model using the machine learning method Random Survival Forests (RSF). Two independent cohorts from Madrid (Spain) were used: the Hospital Clínico San Carlos RA...
Humans Machine Learning Arthritis, Rheumatoid Models, Theoretical Longitudinal Studies Spain Blood Sedimentation Female Aged Male Middle Aged Cohort Studies
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Using machine learning to identify air pollution exposure profiles associated with early cognitive skills among U.S. children.

Environmental pollution (Barking, Essex : 1987) Jul 18, 2017
Data-driven machine learning methods present an opportunity to simultaneously assess the impact of multiple air pollutants on health outcomes. The goal of this study was to apply a two-stage, data-driven approach to identify associations between air ...
Environmental Exposure Linear Models Neuropsychological Tests Urban Population Longitudinal Studies Air Pollution Particulate Matter Humans Machine Learning Female Male Infant Child, Preschool Child United States Cognition
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Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.

PloS one Jul 6, 2017
Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy r...
Prefrontal Cortex Adolescent Bipolar Disorder Child Longitudinal Studies Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Affect Neuroimaging Cerebral Cortex Humans Machine Learning Female Male Case-Control Studies Parietal Lobe Temporal Lobe Parahippocampal Gyrus
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Unlocking echocardiogram measurements for heart disease research through natural language processing.

BMC cardiovascular disorders Jun 12, 2017
BACKGROUND: In order to investigate the mechanisms of cardiovascular disease in HIV infected and uninfected patients, an analysis of echocardiogram reports is required for a large longitudinal multi-center study.
Ventricular Function, Left Stroke Volume Echocardiography HIV Infections Longitudinal Studies Humans Databases, Factual Retrospective Studies Reproducibility of Results Software Validation Data Mining Automation Pattern Recognition, Automated Terminology as Topic Veterans Health Predictive Value of Tests Natural Language Processing Feasibility Studies Heart Failure
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Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

Translational psychiatry Mar 21, 2017
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the comp...
Urine Wounds and Injuries Psychological Trauma Receptors, Glucocorticoid Area Under Curve Emergency Service, Hospital Norepinephrine Hydrocortisone Saliva Lymphocytes Heart Rate Adrenocorticotropic Hormone Linear Models Stress Disorders, Post-Traumatic ROC Curve Support Vector Machine Longitudinal Studies Blood Pressure Young Adult Adult Male Risk Assessment Humans Machine Learning Algorithms Female
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Advanced analytical methodologies for measuring healthy ageing and its determinants, using factor analysis and machine learning techniques: the ATHLOS project.

Scientific reports Mar 10, 2017
A most challenging task for scientists that are involved in the study of ageing is the development of a measure to quantify health status across populations and over time. In the present study, a Bayesian multilevel Item Response Theory approach is u...
Humans Machine Learning Longitudinal Studies Health Status Factor Analysis, Statistical Healthy Aging
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A symptom network structure of the psychosis spectrum.

Schizophrenia research Feb 22, 2017
Current diagnostic systems mainly focus on symptoms needed to classify patients with a specific mental disorder and do not take into account the variation in co-occurring symptoms and the interaction between the symptoms themselves. The innovative ne...
Psychiatric Status Rating Scales Adolescent Longitudinal Studies Psychotic Disorders Psychopathology Delusions Neural Networks, Computer Young Adult Adult Male Middle Aged Humans
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