AIMC Topic: Patient Readmission

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Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.

International journal of medical informatics Apr 18, 2020
OBJECTIVE: Mental or substance use disorders (M/SUD) are major contributors of disease burden with high risk for hospital readmissions. We sought to develop and evaluate a readmission model using a machine learning (ML) approach.
Female Risk Factors Hospitalization Aged Young Adult Humans Machine Learning Mental Disorders Retrospective Studies Child ROC Curve Longitudinal Studies Substance-Related Disorders Patient Discharge Patient Readmission Adult Male Middle Aged Comorbidity Adolescent
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Interpatient Similarities in Cardiac Function: A Platform for Personalized Cardiovascular Medicine.

JACC. Cardiovascular imaging Mar 18, 2020
OBJECTIVES: The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE)...
Pattern Recognition, Automated Female Ventricular Function, Left Aged Echocardiography Aged, 80 and over Middle Aged Adult Disease Progression Humans Male Unsupervised Machine Learning Predictive Value of Tests Prospective Studies Registries Prognosis Patient Readmission Retrospective Studies Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted
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Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study.

Circulation. Heart failure Feb 25, 2020
BACKGROUND: Implantable cardiac sensors have shown promise in reducing rehospitalization for heart failure (HF), but the efficacy of noninvasive approaches has not been determined. The objective of this study was to determine the accuracy of noninvas...
Aged Aged, 80 and over Male Middle Aged Risk Assessment Machine Learning Prognosis Female Reproducibility of Results Risk Factors Predictive Value of Tests Equipment Design Heart Failure Patient Readmission Cloud Computing Diagnosis, Computer-Assisted Wearable Electronic Devices Time Factors Smartphone United States Humans Telemetry
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Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk.

Scientific reports Jan 24, 2020
To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretability of attention-based models is leveraged to describe patients-at-risk. Several ...
Patient Readmission Odds Ratio Humans Medical Records Systems, Computerized Neural Networks, Computer Algorithms Forecasting Communicable Diseases Intensive Care Units Risk Sensitivity and Specificity Disease Progression Deep Learning Chronic Disease Bayes Theorem
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Dynamic readmission prediction using routine postoperative laboratory results after radical cystectomy.

Urologic oncology Jan 14, 2020
OBJECTIVE: To determine if the addition of electronic health record data enables better risk stratification and readmission prediction after radical cystectomy. Despite efforts to reduce their frequency and severity, complications and readmissions fo...
Machine Learning Electronic Health Records Female Aged Male Urinary Bladder Neoplasms Patient Readmission Cystectomy Postoperative Period Humans
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Implementation of machine learning algorithms to create diabetic patient re-admission profiles.

BMC medical informatics and decision making Dec 12, 2019
BACKGROUND: Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is gradually growing and becoming...
Diabetes Mellitus Support Vector Machine Humans Bayes Theorem Machine Learning Patient Readmission Algorithms Female
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Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.

COPD Nov 11, 2019
While machine learning approaches can enhance prediction ability, little is known about their ability to predict 30-day readmission after hospitalization for Chronic Obstructive Pulmonary Disease (COPD). We identified patients aged ≥40 years with unp...
Machine Learning Databases, Factual Prognosis Female Hospitalization Aged Aged, 80 and over Adult Pulmonary Disease, Chronic Obstructive Male Humans Clinical Decision Rules Middle Aged Risk Assessment Logistic Models Japan Patient Readmission
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Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.

Translational psychiatry Nov 11, 2019
Machine learning methods show promise to translate univariate biomarker findings into clinically useful multivariate decision support systems. At current, works in major depressive disorder have predominantly focused on neuroimaging and clinical pred...
Predictive Value of Tests Area Under Curve Patient Readmission Antidepressive Agents Middle Aged Brain Depressive Disorder, Major Female Treatment Outcome Aged Follow-Up Studies Adult Magnetic Resonance Imaging Male Humans Machine Learning Biomarkers
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Evaluation of Machine Learning Algorithms for Predicting Readmission After Acute Myocardial Infarction Using Routinely Collected Clinical Data.

The Canadian journal of cardiology Oct 25, 2019
BACKGROUND: The ability to predict readmission accurately after hospitalization for acute myocardial infarction (AMI) is limited in current statistical models. Machine-learning (ML) methods have shown improved predictive ability in various clinical c...
Time Factors Canada Predictive Value of Tests Myocardial Infarction Risk Factors Patient Readmission Humans Hospitalization Machine Learning Male Algorithms Middle Aged Prognosis Risk Assessment Female
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Extreme Gradient Boosting Model Has a Better Performance in Predicting the Risk of 90-Day Readmissions in Patients with Ischaemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 16, 2019
OBJECT: Ischemic stroke readmission within 90 days of hospital discharge is an important quality of care metric. The readmission rates of ischemic stroke patients are usually higher than those of patients with other chronic diseases. Our aim was to i...
Risk Assessment Time Factors Humans Brain Ischemia Predictive Value of Tests Machine Learning Recurrence Stroke Decision Support Techniques Patient Readmission Reproducibility of Results Retrospective Studies Risk Factors Female Aged Male Middle Aged
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