Nephrology

Anemia

Latest AI and machine learning research in anemia for healthcare professionals.

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Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 421-441 of 3,517 articles
Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state.

OBJECTIVE: Our objective is to study how to obtain features which can reflect the continuity and int...

Caffeine mouth rinse enhances performance, fatigue tolerance and reduces muscle activity during moderate-intensity cycling.

We investigated the effects of caffeine mouth rinse on endurance performance, muscle recruitment (i....

Esophageal squamous dysplasia and cancer: Is artificial intelligence our best weapon?

Esophageal cancer is the eight most common cancer in the world and is associated with a poor prognos...

Relationship between training load and recovery in collegiate American football players during pre-season training.

: The purpose of this study was to examine the relationship between training load and next-day recov...

InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection.

Electroencephalogram (EEG) is an effective indicator for the detection of driver fatigue. Due to the...

Deep Learning-Based Detection of Endothelial Tip Cells in the Oxygen-Induced Retinopathy Model.

Proliferative retinopathies, such as diabetic retinopathy and retinopathy of prematurity, are leadin...

Graph Neural Network and Context-Aware Based User Behavior Prediction and Recommendation System Research.

Due to the influence of context information on user behavior, context-aware recommendation system (C...

Intravenous iron therapy and the cardiovascular system: risks and benefits.

Anaemia is a common complication of chronic kidney disease (CKD). In this setting, iron deficiency i...

Impact of chronic intermittent hypoxia on the long non-coding RNA and mRNA expression profiles in myocardial infarction.

Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a cruci...

Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN.

With a focus on fatigue driving detection research, a fully automated driver fatigue status detectio...

Role of Intravenous Ascorbic Acid in the Management of Anemia in Hemodialysis Patients.

INTRODUCTION: Patients with end-stage kidney disease (ESKD) suffer from functional iron deficiency w...

Optimization technique combined with deep learning method for teeth recognition in dental panoramic radiographs.

Computer-assisted analysis of dental radiograph in dentistry is getting increasing attention from th...

Machine learning analysis of DNA methylation in a hypoxia-immune model of oral squamous cell carcinoma.

BACKGROUND: Hypoxia status and immunity are related with the development and prognosis of oral squam...

FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features.

The precise and rapid diagnosis of coronavirus (COVID-19) at the very primary stage helps doctors to...

Aerobic Fitness is a Predictor of Body Composition in Women With Breast Cancer at Diagnosis.

BACKGROUND: The objective of this study was to investigate the relationship of aerobic fitness (AF) ...

Quantum machine learning using atom-in-molecule-based fragments selected on the fly.

First-principles-based exploration of chemical space deepens our understanding of chemistry and migh...

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagno...

Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swi...

A Deep-Learning Approach for Foot-Type Classification Using Heterogeneous Pressure Data.

The human foot is easily deformed owing to the innate form of the foot or an incorrect walking postu...

Esophagus segmentation from planning CT images using an atlas-based deep learning approach.

BACKGROUND AND OBJECTIVE: One of the main steps in the planning of radiotherapy (RT) is the segmenta...

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