AIMC Topic: Longitudinal Studies

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Predicting personalized process-outcome associations in psychotherapy using machine learning approaches-A demonstration.

Psychotherapy research : journal of the Society for Psychotherapy Research Mar 26, 2019
Personalized treatment methods have shown great promise in efficacy studies across many fields of medicine and mental health. Little is known, however, about their utility in process-outcome research. This study is the first to apply personalized tr...
Humans Machine Learning Precision Medicine Adult Psychotherapeutic Processes Therapeutic Alliance Longitudinal Studies Outcome and Process Assessment, Health Care
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Using machine learning to translate applicant work history into predictors of performance and turnover.

The Journal of applied psychology Mar 25, 2019
Work history information reflected in resumes and job application forms is commonly used to screen job applicants; however, there is little consensus as to how to systematically translate information about one's work-related past into predictors of f...
Longitudinal Studies Data Mining Personnel Turnover Job Application School Teachers Machine Learning Female Adult Male Work Performance Humans
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Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis.

Aging & mental health Mar 5, 2019
: This study set out to empirically identify joint health trajectories in individuals of advanced age. Predictors of subgroup allocation were investigated to identify the impact of psychological characteristics, stress, and socio-demographic variable...
Resilience, Psychological Surveys and Questionnaires Stress, Psychological Longitudinal Studies Personal Satisfaction Humans Machine Learning Aged
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Area Under Curve Probability Critical Care Organ Dysfunction Scores Adolescent Hospital Mortality Longitudinal Studies Decision Making Female Aged Young Adult Adult Severity of Illness Index Deep Learning Length of Stay Male Middle Aged Databases, Factual Retrospective Studies Critical Illness Intensive Care Units Humans
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Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis.

International journal of neural systems Feb 8, 2019
Although electroconvulsive therapy (ECT) is one of the most effective treatments for major depressive disorder (MDD), the mechanism underlying the therapeutic efficacy and side effects of ECT remains poorly understood. Here, we investigated alteratio...
Humans Organ Size Female Cerebral Cortex Adult Electroconvulsive Therapy Depressive Disorder, Major Male Support Vector Machine Middle Aged Longitudinal Studies
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Contribution of Cardiovascular Reserve to Prognostic Categories of Heart Failure With Preserved Ejection Fraction: A Classification Based on Machine Learning.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Feb 1, 2019
BACKGROUND: The authors used cluster analysis of data from cardiovascular domains associated with exercise intolerance to help define prognostic phenotypes of patients with heart failure with preserved ejection fraction (HFpEF).
Biomarkers Prognosis Female Aged Male Humans Machine Learning Phenotype Prospective Studies Exercise Test Stroke Volume Heart Failure Echocardiography Exercise Tolerance Middle Aged Heart Function Tests Longitudinal Studies
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Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.

Journal of pain & palliative care pharmacotherapy Jan 31, 2019
Use of prescription opioids and problems of abuse and addiction have increased over the past decade. Claims-based studies have documented substantial economic burden of opioid abuse. This study utilized electronic health record (EHR) data to identify...
Middle Aged Case-Control Studies Adolescent United States Natural Language Processing Analgesics, Opioid Medicare Longitudinal Studies Follow-Up Studies Aged Opioid-Related Disorders Young Adult Health Care Costs Humans Adult Cost of Illness Male Retrospective Studies Electronic Health Records Female
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RNN-based longitudinal analysis for diagnosis of Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 26, 2019
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder with progressive impairment of memory and other mental functions. Magnetic resonance images (MRI) have been widely used as an important imaging modality of brain for AD diagnosis ...
Neural Networks, Computer Magnetic Resonance Imaging Algorithms Humans Alzheimer Disease Databases, Factual Neuroimaging Longitudinal Studies
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Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction.

Scientific reports Jan 24, 2019
Current approaches to predicting a cardiovascular disease (CVD) event rely on conventional risk factors and cross-sectional data. In this study, we applied machine learning and deep learning models to 10-year CVD event prediction by using longitudina...
Longitudinal Studies Genetic Variation Cardiovascular Diseases Case-Control Studies Deep Learning United States Risk Factors Adult Cross-Sectional Studies Male Neural Networks, Computer Machine Learning Algorithms Humans Electronic Health Records Female
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Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.

Scientific reports Jan 23, 2019
Head motion (HM) during fMRI acquisition can significantly affect measures of brain activity or connectivity even after correction with preprocessing methods. Moreover, any systematic relationship between HM and variables of interest can introduce sy...
Humans Machine Learning Movement Magnetic Resonance Imaging Female Mental Disorders Middle Aged Adult Brain Brain Mapping Adolescent Male Predictive Value of Tests Longitudinal Studies Sex Factors Age Factors
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