AIMC Topic: Patient Readmission

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Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness.

Medical care Feb 1, 2021
BACKGROUND: Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increas...
Female Reproducibility of Results Risk Factors Hospitalization Algorithms Mental Disorders Retrospective Studies Electronic Health Records Middle Aged Suicide, Attempted Cohort Studies Supervised Machine Learning Patient Readmission Aged Young Adult Adult Sensitivity and Specificity Humans Self-Injurious Behavior Women
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Patient Readmission Gastrointestinal Hemorrhage Proton Pump Inhibitors Infections Hydrothorax Male Ascites Middle Aged Gastrointestinal Agents Severity of Illness Index Water-Electrolyte Imbalance Cohort Studies beta-Lactams ROC Curve Anti-Bacterial Agents Liver Cirrhosis Adrenergic beta-Antagonists Logistic Models Female Clinical Decision Rules Support Vector Machine Hepatic Encephalopathy Reproducibility of Results Kidney Diseases Paracentesis Aged End Stage Liver Disease Mortality Humans Rifaximin Lactulose Machine Learning
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Time for clinicians to revisit their perspectives on C-statistic.

European heart journal Jan 1, 2021
Humans Deep Learning Emergency Service, Hospital Coronary Artery Disease Feasibility Studies Patient Readmission
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Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Medicine Dec 4, 2020
Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work...
France Emergency Service, Hospital Tertiary Care Centers Sex Factors Patient Readmission ROC Curve Socioeconomic Factors Health Status Age Factors Humans Machine Learning Algorithms Male Comorbidity Severity of Illness Index Retrospective Studies Female
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Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.

Medical care Nov 1, 2020
OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers for Medicare and Medicaid's expansion of allowable secondary diagnoses in January 2011 and its association with financial penalties under the Hospita...
Humans Machine Learning Policy Hospital Bed Capacity Clinical Coding Severity of Illness Index Diagnosis-Related Groups United States Centers for Medicare and Medicaid Services, U.S. Medicare Insurance Claim Review Patient Readmission
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Commentary: Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

Neurosurgery Sep 15, 2020
Humans Machine Learning Cohort Studies Patient Readmission
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Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort.

Neurosurgery Sep 15, 2020
BACKGROUND: Unplanned hospital readmissions constitute a significant cost burden in healthcare. Identifying factors contributing to readmission risk presents opportunities for actionable change to reduce readmission rates.
Middle Aged Cohort Studies Patient Discharge Patient Readmission Risk Factors Spinal Diseases Humans Aged Machine Learning Adult Retrospective Studies Male Female
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Machine Learning for Predictive Modeling of 90-day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion.

Spine Aug 15, 2020
STUDY DESIGN: Retrospective case control study.
Postoperative Complications Comorbidity Case-Control Studies Humans Databases, Factual Inpatients Postoperative Period Spinal Fusion Machine Learning Retrospective Studies Aged Lumbar Vertebrae Female Adult Patient Discharge Risk Factors Male Patient Readmission Middle Aged
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Comparison of Machine Learning Algorithms for Classifying Adverse-Event Related 30-Day Hospital Readmissions: Potential Implications for Patient Safety.

Studies in health technology and informatics Jun 26, 2020
Studies in the last decade have focused on identifying patients at risk of readmission using predictive models, in an objective to decrease costs to the healthcare system. However, real-time models specifically identifying readmissions related to hos...
Patient Readmission Humans Machine Learning Patient Safety Hospitals
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Comparison of Unplanned 30-Day Readmission Prediction Models, Based on Hospital Warehouse and Demographic Data.

Studies in health technology and informatics Jun 16, 2020
Anticipating unplanned hospital readmission episodes is a safety and medico-economic issue. We compared statistics (Logistic Regression) and machine learning algorithms (Gradient Boosting, Random Forest, and Neural Network) for predicting the risk of...
Patient Readmission Machine Learning Demography Reproducibility of Results Logistic Models
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