AIMC Topic: Patient Readmission

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Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?

The spine journal : official journal of the North American Spine Society Aug 15, 2021
BACKGROUND CONTEXT: The increasing volume of free-text notes available in electronic health records has created an opportunity for natural language processing (NLP) algorithms to mine this unstructured data in order to detect and predict adverse outc...
Adult Natural Language Processing Patient Readmission Lumbosacral Region Spondylolisthesis Humans Retrospective Studies
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Using the Super Learner algorithm to predict risk of 30-day readmission after bariatric surgery in the United States.

Surgery Jul 31, 2021
BACKGROUND: Risk prediction models that estimate patient probabilities of adverse events are commonly deployed in bariatric surgery. The objective was to validate a machine learning (Super Learner) prediction model of 30-day readmission after bariatr...
Middle Aged Postoperative Complications ROC Curve Logistic Models Predictive Value of Tests Female Risk Factors Adult Male Humans Machine Learning Algorithms Retrospective Studies Bariatric Surgery Obesity, Morbid Patient Readmission
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Improving hospital readmission prediction using individualized utility analysis.

Journal of biomedical informatics Jun 1, 2021
OBJECTIVE: Machine learning (ML) models for allocating readmission-mitigating interventions are typically selected according to their discriminative ability, which may not necessarily translate into utility in allocation of resources. Our objective w...
Machine Learning Humans Retrospective Studies Patient Readmission Female Aged
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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...
Humans Machine Learning Algorithms Logistic Models Treatment Outcome Models, Statistical Predictive Value of Tests Area Under Curve Spinal Fusion Lumbar Vertebrae Patient Readmission Male Middle Aged Risk Assessment Postoperative Complications ROC Curve Retrospective Studies Female Risk Factors Aged
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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...
Apolipoprotein B-100 Lipoprotein(a) Apolipoprotein A-I Percutaneous Coronary Intervention Cholesterol, LDL Lipid Metabolism Patient Selection Patient Readmission Cholesterol, HDL Triglycerides Kaplan-Meier Estimate Middle Aged Risk Assessment Unsupervised Machine Learning Principal Component Analysis ST Elevation Myocardial Infarction Prognosis Female Aged Male Humans
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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.
Algorithms Logistic Models Area Under Curve Patient Readmission Humans Machine Learning
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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 ...
Humans Electronic Health Records Female Aged Male Middle Aged Machine Learning Prospective Studies Biomarkers Prognosis Area Under Curve Emergency Service, Hospital Patient Readmission Length of Stay Early Diagnosis Sepsis Hospital Mortality ROC Curve
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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...
Artificial Intelligence Retrospective Studies Risk Factors Treatment Outcome Patient Readmission Carotid Arteries 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...
Patient Readmission Female Colectomy Risk Factors Multivariate Analysis Area Under Curve Aged Mortality Laparoscopy Aged, 80 and over Myocardial Infarction Pulmonary Disease, Chronic Obstructive Humans Machine Learning Intensive Care Units Comorbidity Netherlands Length of Stay Asthma Logistic Models Colorectal Neoplasms Hypertension Male Support Vector Machine 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...
Arthrodesis Adult Male Middle Aged Databases, Factual Hospital Mortality Treatment Outcome Retrospective Studies Humans Predictive Value of Tests Female Neural Networks, Computer Spinal Fusion Risk Factors Machine Learning Lumbar Vertebrae Aged Algorithms Patient Readmission
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