AIMC Topic: Longitudinal Studies

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Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Female Reproducibility of Results Risk Factors Male Diagnosis, Computer-Assisted Humans Neural Networks, Computer Machine Learning Electronic Health Records Heart Failure Early Diagnosis Smoking Alcohol Drinking California Vital Signs Incidence Time Factors Primary Health Care Longitudinal Studies Predictive Value of Tests
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Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity.

Drug and alcohol dependence Oct 1, 2019
BACKGROUND: This longitudinal study explored the utility of machine learning (ML) methodology in predicting the trajectory of severity of substance use from childhood to thirty years of age using a set of psychological and health characteristics.
Female Reproducibility of Results Young Adult Adult Psychological Techniques Male Longitudinal Studies Severity of Illness Index Predictive Value of Tests Adolescent Substance-Related Disorders Child Humans Machine Learning
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Individualized prediction of depressive disorder in the elderly: A multitask deep learning approach.

International journal of medical informatics Sep 23, 2019
INTRODUCTION: Depressive disorder is one of the major public health problems among the elderly. An effective depression risk prediction model can provide insights on the disease progression and potentially inform timely targeted interventions. Theref...
Deep Learning Humans Longitudinal Studies Aged Depressive Disorder Male Neural Networks, Computer Disease Progression Precision Medicine Female
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Machine learning discovery of longitudinal patterns of depression and suicidal ideation.

PloS one Sep 20, 2019
BACKGROUND AND AIM: Depression is often accompanied by thoughts of self-harm, which are a strong predictor of subsequent suicide attempt and suicide death. Few empirical data are available regarding the temporal correlation between depression symptom...
Time Factors Longitudinal Studies Middle Aged Humans Remission Induction Psychiatric Status Rating Scales Machine Learning Depression Normal Distribution Surveys and Questionnaires Female Suicidal Ideation Adult Male
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Body Height Alcohol Drinking Spirometry Triglycerides Serum Albumin Cigarette Smoking Alkaline Phosphatase Hematocrit Dyspnea Sex Factors Leukocyte Count Vital Capacity Bronchodilator Agents Serum Globulins Aging Middle Aged Risk Assessment Lung Cohort Studies Electrocardiography Longitudinal Studies Age Factors Cough Forced Expiratory Volume Algorithms Female Adult Pulmonary Disease, Chronic Obstructive Humans Male Machine Learning
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Using supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal study.

Experimental gerontology Sep 11, 2019
INTRODUCTION: Given their major health consequences in the elderly, identifying people at risk of fall is a major challenge faced by clinicians. A lot of studies have confirmed the relationships between gait parameters and falls incidence. However, a...
Algorithms Female Aged Aged, 80 and over Male Risk Assessment Humans Gait Supervised Machine Learning Independent Living Pilot Projects Accidental Falls Longitudinal Studies Postural Balance Walking
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Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study.

Scientific reports Aug 27, 2019
A comprehensive screening method using machine learning and many factors (biological characteristics, Helicobacter pylori infection status, endoscopic findings and blood test results), accumulated daily as data in hospitals, could improve the accurac...
Longitudinal Studies Area Under Curve Bayes Theorem Endoscopy, Gastrointestinal Stomach Neoplasms Humans Male Middle Aged Machine Learning Case-Control Studies Female ROC Curve Risk Factors Logistic Models Aged Adult
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Identifying Phenotypes of Atopic Dermatitis in a Longitudinal United States Cohort Using Unbiased Statistical Clustering.

The Journal of investigative dermatology Aug 22, 2019
Infant Severity of Illness Index Diagnosis, Computer-Assisted Child, Preschool Child United States Longitudinal Studies Cluster Analysis Dermatitis, Atopic Registries Age of Onset Humans Machine Learning Phenotype Female Infant, Newborn Male
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Perioperative mortality and morbidity of outpatient versus inpatient robot-assisted radical prostatectomy: A propensity matched analysis.

Urologic oncology Aug 2, 2019
OBJECTIVES: To compare the early (≤30 days) postoperative mortality and morbidity in patients who underwent robot-assisted radical prostatectomy (RARP) and were discharged the same surgery day to a propensity score matched patient population of RARP ...
Propensity Score Outpatients Prostatectomy Intraoperative Complications Longitudinal Studies Humans Inpatients Retrospective Studies Robotics Aged Robotic Surgical Procedures Male Survival Analysis
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Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease).

Journal of biomedical informatics Jul 30, 2019
AIM: The aim of this study is to compare the utility of several supervised machine learning (ML) algorithms for predicting clinical events in terms of their internal validity and accuracy. The results, which were obtained using two statistical softwa...
Decision Trees Area Under Curve Supervised Machine Learning Coronary Disease Computational Biology Logistic Models Support Vector Machine Longitudinal Studies Models, Statistical Neural Networks, Computer Humans Algorithms Databases, Factual Prospective Studies Risk Factors
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