AIMC Topic: Blood Urea Nitrogen

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Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post-hoc analysis of the WARCEF trial.

European journal of clinical investigation Nov 18, 2024
BACKGROUND: The prediction of ischaemic stroke in patients with heart failure with reduced ejection fraction (HFrEF) but without atrial fibrillation (AF) remains challenging. Our aim was to evaluate the performance of machine learning (ML) in identif...
Humans Machine Learning Female Ischemic Stroke Area Under Curve Stroke Heart Failure Atrial Fibrillation Blood Urea Nitrogen Aged Male Stroke Volume Middle Aged Support Vector Machine
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Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review.

Renal failure Jul 31, 2024
BACKGROUND: With the development of artificial intelligence, the application of machine learning to develop predictive models for sepsis-associated acute kidney injury has made potential breakthroughs in early identification, grading, diagnosis, and ...
Sepsis Creatinine Blood Urea Nitrogen Humans Machine Learning Prognosis Acute Kidney Injury
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Machine Learning-Based Mortality Prediction in Chronic Kidney Disease among Heart Failure Patients: Insights and Outcomes from the Jordanian Heart Failure Registry.

Medicina (Kaunas, Lithuania) May 19, 2024
Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on healthcare systems and adversely affects the quality of life of patients worldwide. Comorbidities such as chronic kidney disease (CKD), arterial hypert...
Jordan Aged, 80 and over Adult Male Middle Aged Cohort Studies Renal Insufficiency, Chronic Humans Glomerular Filtration Rate Machine Learning Registries Prognosis Creatinine Female Heart Failure Risk Factors Blood Urea Nitrogen Aged
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Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study.

Scientific reports Apr 8, 2024
With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. Artificial intelligence models (AIs) like Gemini (Bard), Copilot (Bing), and ChatGPT-3.5 have the potential to impact every aspect of our lives, inclu...
Pilot Projects Creatinine Blood Urea Nitrogen Humans Artificial Intelligence Reproducibility of Results
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Dialysis adequacy predictions using a machine learning method.

Scientific reports Jul 29, 2021
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However, there are inconveniences and disadvantages to measuring dialysis adequacy by blood samples. This study used machine learning models to predict dialys...
Female Aged Male Middle Aged Deep Learning Renal Dialysis Humans Software Monitoring, Physiologic Linear Models Multivariate Analysis Blood Flow Velocity Blood Urea Nitrogen
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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Clinical journal of the American Society of Nephrology : CJASN Oct 8, 2020
BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.
L-Lactate Dehydrogenase Alanine Transaminase Bilirubin Lactic Acid Liver Diseases Blood Urea Nitrogen Deep Learning Sepsis Renal Dialysis United States Creatinine Leukocyte Count Simplified Acute Physiology Score Glutamyl Aminopeptidase Humans Phenotype Databases, Factual Prognosis Acute Kidney Injury Electronic Health Records Female Aged Male Middle Aged Comorbidity
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Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

JAMA network open Sep 4, 2019
IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but...
Troponin I L-Lactate Dehydrogenase Blood Urea Nitrogen ROC Curve Humans Leukocyte Count Predictive Value of Tests Machine Learning Clinical Laboratory Techniques Retrospective Studies Hospitalization Area Under Curve Female Aged Glycated Hemoglobin Adult Hemoglobins Sensitivity and Specificity Male Middle Aged
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Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Risk Assessment Severity of Illness Index Liver Cirrhosis Mass Screening International Normalized Ratio Esophageal and Gastric Varices Ascites Creatinine Non-alcoholic Fatty Liver Disease Hemoglobins Sodium Prospective Studies Female Aged Male Middle Aged Thrombocytopenia Humans Liver Cirrhosis, Alcoholic Machine Learning Gastrointestinal Hemorrhage Platelet Count Hepatic Encephalopathy Hepatitis C, Chronic Serum Albumin Alanine Transaminase Blood Urea Nitrogen Aspartate Aminotransferases Endoscopy, Digestive System Bilirubin
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Renal impairment and outcome in patients with takotsubo cardiomyopathy.

The American journal of emergency medicine Dec 23, 2015
OBJECTIVES: The objectives were to ascertain the prevalence of renal impairment among patients with a takotsubo cardiomyopathy (TTC) episode and whether clinical outcomes are related to renal function.
Italy Aged Registries Creatinine Male Analysis of Variance Humans Troponin I Severity of Illness Index Blood Urea Nitrogen Prospective Studies Renal Insufficiency Glomerular Filtration Rate Takotsubo Cardiomyopathy Biomarkers Multicenter Studies as Topic Prognosis Female
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Predictive markers of depression in hypertension.

Medicine Aug 1, 2018
Hypertension and depression, as 2 major public health issues, are closely related. For patients having hypertension, in particular, depression is a risk factor for mortality and jeopardizes their wellbeing. The aim of the study is to apply support ve...
Body Temperature Serum Albumin Blood Urea Nitrogen Female Reproducibility of Results Risk Factors Aged Age Factors Male Lipids Case-Control Studies Humans Middle Aged Creatine Kinase Depression Biomarkers Cholesterol Blood Glucose Uric Acid Hypertension Sex Factors Support Vector Machine
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