AIMC Topic: Patient Readmission

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Feature-weighted survival learning machine for COPD failure prediction.

Artificial intelligence in medicine Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Biomarkers Prognosis Retrospective Studies Electronic Health Records Female Risk Factors Humans Machine Learning Age Factors Predictive Value of Tests Sex Factors Patient Readmission Survival Analysis Proportional Hazards Models Middle Aged Severity of Illness Index Time Factors ROC Curve Canada Hospitalization Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Male
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Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK.

BMJ open Mar 7, 2019
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are ready for discharge from intensive care.
Critical Care Patient Readmission Female Male England Length of Stay Patient Discharge Humans Machine Learning Algorithms Decision Support Techniques Electronic Health Records
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Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.

JAMA network open Mar 1, 2019
IMPORTANCE: Hospital readmissions are associated with patient harm and expense. Ways to prevent hospital readmissions have focused on identifying patients at greatest risk using prediction scores.
Humans Machine Learning Research Design Prognosis Risk Assessment Length of Stay United States Medicare Patient Readmission Female Maryland Risk Factors Hospitalization Male Middle Aged
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Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.

ESC heart failure Feb 27, 2019
AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from the data and has the potential in predicting events such as heart failure (HF) readmission and death. Recent studies have revealed conflicting results...
Male Time Factors ROC Curve Follow-Up Studies Cause of Death Retrospective Studies Heart Failure Female Patient Readmission Aged Quality Indicators, Health Care Aged, 80 and over Western Australia Survival Rate Humans Machine Learning
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Can AI Help Reduce Disparities in General Medical and Mental Health Care?

AMA journal of ethics Feb 1, 2019
BACKGROUND: As machine learning becomes increasingly common in health care applications, concerns have been raised about bias in these systems' data, algorithms, and recommendations. Simply put, as health care improves for some, it might not improve ...
Adult Male Middle Aged Mental Health Services Healthcare Disparities Delivery of Health Care Intensive Care Units Female Aged Aged, 80 and over Sex Factors Patient Readmission Mortality Humans Artificial Intelligence
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Machine learning modeling for predicting hospital readmission following lumbar laminectomy.

Journal of neurosurgery. Spine Dec 7, 2018
In BriefAuthors of this study analyzed hospital readmissions following laminectomy and developed predictive models to identify readmitted patients with an accuracy >95% when using all variables and >79% when using only predischarge variables. A model...
Lumbar Vertebrae Patient Readmission Laminectomy Humans Machine Learning Risk Factors Aged Adult Middle Aged Elective Surgical Procedures Registries Spinal Fusion
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Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure.

American journal of men's health Nov 28, 2018
Heart failure (HF) is responsible for more 30-day readmissions than any other condition. Minorities, particularly African American males (AAM), are at much higher risk for readmission than the general population. In this study, demographic, social, a...
Humans Machine Learning Prognosis Electronic Health Records Hospitalization Aged Georgia Incidence Pharmacists Predictive Value of Tests Heart Failure Adult Patient Readmission Male Academic Medical Centers Middle Aged Black or African American Risk Assessment Case-Control Studies
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An improved support vector machine-based diabetic readmission prediction.

Computer methods and programs in biomedicine Oct 12, 2018
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a large proportion of total hospital payment. Hospital-specific readmission rate becomes a critical issue around the world. Quantification and early ident...
Support Vector Machine Decision Trees Bayes Theorem Patient Discharge Patient Readmission Sensitivity and Specificity Male Humans Risk Assessment Decision Support Systems, Clinical Logistic Models Neural Networks, Computer Algorithms Female Reproducibility of Results Risk Factors
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Identify and monitor clinical variation using machine intelligence: a pilot in colorectal surgery.

Journal of clinical monitoring and computing Sep 24, 2018
Standardized clinical pathways are useful tool to reduce variation in clinical management and may improve quality of care. However the evidence supporting a specific clinical pathway for a patient or patient population is often imperfect limiting ado...
Infusions, Intravenous Inflammatory Bowel Diseases Data Interpretation, Statistical Reproducibility of Results Humans Patient Readmission Pilot Projects Signal Processing, Computer-Assisted Artificial Intelligence Medical Informatics Monitoring, Intraoperative Colonic Neoplasms Machine Learning Colorectal Surgery Treatment Outcome Patient Compliance Software Ketorolac Algorithms
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Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach.

Journal of biomedical informatics Sep 18, 2018
INTRODUCTION: Readmission from inpatient rehabilitation facilities to acute care hospitals is a serious problem. This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.
Sensitivity and Specificity Male Middle Aged ROC Curve Humans Algorithms Risk Machine Learning Support Vector Machine Logistic Models Retrospective Studies North Carolina Longitudinal Studies Female Outpatients Regression Analysis Hospitalization Rehabilitation Inpatients Aged Preventive Medicine Patient Readmission
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