Published on in Vol 4, No 4 (2017): Oct-Dec

Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

Mental and Emotional Self-Help Technology Apps: Cross-Sectional Study of Theory, Technology, and Mental Health Behaviors

Journal of Clinical Monitoring and Computing

Citations:
Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring View

Scientific Reports

Citations:
Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study View

JAMA Network Open

Citations:
Machine Learning–Based Prediction of Clinical Outcomes for Children During Emergency Department Triage View

Journal of Medical Internet Research

Citations:
Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support View

COPD: Journal of Chronic Obstructive Pulmonary Disease

Citations:
Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease View

JMIR Medical Informatics

Citations:
Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches View
A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study View

Annals of Pharmacotherapy

Citations:
Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients View

Pediatric Critical Care Medicine

Citations:
A Vital Sign-Based Model to Predict Clinical Deterioration in Hospitalized Children* View
Back to the Basics or Back to the Future? The Art and Science of Predicting Clinical Deterioration in Hospitalized Children* View

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Citations:
Intelligence-Based Medicine View

PLOS ONE

Citations:
Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory View
A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction View

Neurotrauma Reports

Citations:
XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury View

Critical Care Medicine

Citations:
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock View

Critical Care

Citations:
Emergency department triage prediction of clinical outcomes using machine learning models View