AIMC Topic: Patient Readmission

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Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.

World neurosurgery May 28, 2021
BACKGROUND: Given the significant cost and morbidity of patients undergoing lumbar fusion, accurate preoperative risk-stratification would be of great utility. We aim to develop a machine learning model for prediction of major complications and readm...
Predictive Value of Tests Area Under Curve Spinal Fusion Lumbar Vertebrae Patient Readmission ROC Curve Logistic Models Treatment Outcome Models, Statistical Algorithms Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Postoperative Complications Humans Machine Learning
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Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles.

Lipids in health and disease May 6, 2021
BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratific...
Male Middle Aged Risk Assessment Unsupervised Machine Learning Principal Component Analysis Humans Prognosis Female Aged Kaplan-Meier Estimate Apolipoprotein B-100 Lipoprotein(a) Lipid Metabolism Patient Selection Patient Readmission Cholesterol, HDL ST Elevation Myocardial Infarction Triglycerides Apolipoprotein A-I Percutaneous Coronary Intervention Cholesterol, LDL
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Application of machine learning in predicting hospital readmissions: a scoping review of the literature.

BMC medical research methodology May 6, 2021
BACKGROUND: Advances in machine learning (ML) provide great opportunities in the prediction of hospital readmission. This review synthesizes the literature on ML methods and their performance for predicting hospital readmission in the US.
Humans Machine Learning Algorithms Logistic Models Area Under Curve Patient Readmission
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Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis.

Clinical and translational science May 2, 2021
Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad-spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two-center ...
Prognosis Electronic Health Records Female Aged Male Humans Machine Learning Prospective Studies Biomarkers ROC Curve Area Under Curve Emergency Service, Hospital Patient Readmission Early Diagnosis Middle Aged Length of Stay Sepsis Hospital Mortality
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Predictors of 30-Day Unplanned Readmission After Carotid Artery Stenting Using Artificial Intelligence.

Advances in therapy Apr 9, 2021
INTRODUCTION: This study aimed to describe the rates and causes of unplanned readmissions within 30 days following carotid artery stenting (CAS) and to use artificial intelligence machine learning analysis for creating a prediction model for short-te...
Patient Readmission Carotid Arteries Artificial Intelligence Retrospective Studies Risk Factors Treatment Outcome Humans
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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Humans Machine Learning Intensive Care Units Female Risk Factors Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Area Under Curve Laparoscopy Myocardial Infarction Netherlands Patient Readmission Colectomy Multivariate Analysis Mortality Comorbidity Length of Stay Logistic Models Hypertension Support Vector Machine Asthma Colorectal Neoplasms Male Middle Aged
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Predicting Readmission After Anterior, Posterior, and Posterior Interbody Lumbar Spinal Fusion: A Neural Network Machine Learning Approach.

World neurosurgery Mar 18, 2021
BACKGROUND: Readmission after spine surgery is costly and a relatively common occurrence. Previous research identified several risk factors for readmission; however, the conclusions remain equivocal. Machine learning algorithms offer a unique perspec...
Humans Arthrodesis Neural Networks, Computer Adult Machine Learning Predictive Value of Tests Male Spinal Fusion Algorithms Middle Aged Lumbar Vertebrae Databases, Factual Hospital Mortality Patient Readmission Treatment Outcome Retrospective Studies Female Risk Factors Aged
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Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review.

The Canadian journal of cardiology Mar 5, 2021
BACKGROUND: Machine learning (ML) methods are increasingly used in addition to conventional statistical modelling (CSM) for predicting readmission and mortality in patients with myocardial infarction (MI). However, the two approaches have not been sy...
Patient Readmission Humans Machine Learning Models, Statistical Myocardial Infarction
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Personalized Risk Prediction for 30-Day Readmissions With Venous Thromboembolism Using Machine Learning.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Feb 22, 2021
PURPOSE: The aim of the study was to develop and validate machine learning models to predict the personalized risk for 30-day readmission with venous thromboembolism (VTE).
Models, Statistical Patient Readmission Venous Thromboembolism Academic Medical Centers Machine Learning Retrospective Studies Electronic Health Records Female Aged Adult Male Humans Middle Aged Risk Assessment
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Hard for humans, hard for machines: predicting readmission after psychiatric hospitalization using narrative notes.

Translational psychiatry Jan 11, 2021
Machine learning has been suggested as a means of identifying individuals at greatest risk for hospital readmission, including psychiatric readmission. We sought to compare the performance of predictive models that use interpretable representations d...
Hospitalization Narration Patient Readmission Humans Machine Learning Electronic Health Records Female
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