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Subcategories: Anemia End Stage Renal Disease

Showing 2626-2646 of 4,985 articles

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA-PAINT with Machine- Learning-Based Classification.

Exosomes are endosome-derived vesicles enriched in body fluids such as urine, blood, and saliva. So ...

Sep 2019 31478613

Interventions to Improve Blood Pressure Control Among Socioeconomically Disadvantaged Patients With CKD: Kidney Awareness Registry and Education Pilot Randomized Controlled Trial.

RATIONALE & OBJECTIVE: Sustainable interventions that enhance chronic kidney disease (CKD) managemen...

Aug 2019 32734204

Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.

OBJECTIVE: To investigate the discriminative capabilities of different machine learning-based classi...

Aug 2019 31468159

Ameliorative effect of virgin olive oil against nephrotoxicity following sub-chronic administration of ethephon in male rats.

BACKGROUND: Ethephon (EP) is the most famous plant growth regulator with different adverse effects o...

Aug 2019 32953565

Accelerating cardiovascular model building with convolutional neural networks.

The objective of this work is to reduce the user effort required for 2D segmentation when building p...

Aug 2019 31446517

Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network.

OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during con...

Aug 2019 31454648

Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose d...

Aug 2019 31472443

Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.

Artificial intelligence is playing an increasingly important role in many fields of medicine, assist...

Aug 2019 31451330

Prediction model development of late-onset preeclampsia using machine learning-based methods.

Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the ...

Aug 2019 31442238

A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.

One of the main problems of the decellularization technique is the subjectivity of the final evaluat...

Aug 2019 31434981

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams.

This paper presents a new approach for precisely estimating the renal vascular dominant region using...

Aug 2019 31525543

A self-supervised strategy for fully automatic segmentation of renal dynamic contrast-enhanced magnetic resonance images.

PURPOSE: An automated accurate segmentation for dynamic contrast-enhanced magnetic resonance (DCE-MR...

Aug 2019 31306492

Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.

BACKGROUND: Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive care ...

Aug 2019 31420056

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Artificial intelligence (AI) is expected to support clinical judgement in medicine. We constructed a...

Aug 2019 31413285

Machine learning analysis of serum biomarkers for cardiovascular risk assessment in chronic kidney disease.

BACKGROUND: Chronic kidney disease (CKD) patients show an increased burden of atherosclerosis and hi...

Aug 2019 32905292

Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device.

The classifier of support vector machine (SVM) learning for assessing the quality of arteriovenous f...

Aug 2019 31382707

Anemia and iron deficiency among chronic kidney disease Stages 3-5ND patients in the Chronic Kidney Disease Outcomes and Practice Patterns Study: often unmeasured, variably treated.

BACKGROUND: International variation in anemia assessment and management practices in chronic kidney ...

Aug 2019 32905241

Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

Machine learning analyses allow for the consideration of numerous variables in order to accommodate ...

Jul 2019 31328849

Browse Categories

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA-PAINT with Machine- Learning-Based Classification.

Interventions to Improve Blood Pressure Control Among Socioeconomically Disadvantaged Patients With CKD: Kidney Awareness Registry and Education Pilot Randomized Controlled Trial.

Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.

Ameliorative effect of virgin olive oil against nephrotoxicity following sub-chronic administration of ethephon in male rats.

Accelerating cardiovascular model building with convolutional neural networks.

Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network.

Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.

Prediction model development of late-onset preeclampsia using machine learning-based methods.

A non-linear mathematical model using optical sensor to predict heart decellularization efficacy.

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams.

A self-supervised strategy for fully automatic segmentation of renal dynamic contrast-enhanced magnetic resonance images.

Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Machine learning analysis of serum biomarkers for cardiovascular risk assessment in chronic kidney disease.

Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device.

Anemia and iron deficiency among chronic kidney disease Stages 3-5ND patients in the Chronic Kidney Disease Outcomes and Practice Patterns Study: often unmeasured, variably treated.

On the interpretability of machine learning-based model for predicting hypertension.

Validation of a simple equation for glomerular filtration rate measurement based on plasma iohexol disappearance.

Microwave dielectric property based classification of renal calculi: Application of a kNN algorithm.

Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

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