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 505-525 of 3,503 articles
EMG-driven fatigue-based self-adapting admittance control of a hand rehabilitation robot.

Upper-limb rehabilitation therapy sessions for post-stroke people generally contain rhythmic hand mo...

Apr 2022 35561557
A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning.

During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future ...

(2)
Apr 2022 35491031
Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion.

PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognitio...

Mar 2022 35303877
Motion Fatigue State Detection Based on Neural Networks.

Aiming at the problem of fatigue state detection at the back of sports, a cascade deep learning dete...

(1)
Mar 2022 35330594
Anti-Fatigue and Exercise Performance Improvement Effect of Extract in Mice.

(GT) is a native perennial plant growing across the coastline areas in Taiwan. The current study ai...

Feb 2022 35267986
A New Approach of Fatigue Classification Based on Data of Tongue and Pulse With Machine Learning.

BACKGROUND: Fatigue is a common and subjective symptom, which is associated with many diseases and s...

Feb 2022 35197858
Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.

Acute coronary syndromes (ACS) are a leading cause of deaths worldwide, yet the diagnosis and treatm...

Jan 2022 35073375
Fatigue Crack Evaluation with the Guided Wave-Convolutional Neural Network Ensemble and Differential Wavelet Spectrogram.

On-line fatigue crack evaluation is crucial for ensuring the structural safety and reducing the main...

Dec 2021 35009843
A Memristive Circuit Implementation of Eyes State Detection in Fatigue Driving Based on Biological Long Short-Term Memory Rule.

Biological long short-term memory (B-LSTM) can effectively help human process all kinds of received ...

Dec 2021 32086217
Real-Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks.

Background Accurate detection of arrhythmic events in the intensive care units (ICU) is of paramount...

(1)
Dec 2021 34854319
Evaluation of the Association of Transferrin Receptor Type 2 Gene Mutation (Y250X) with Iron Overload in Major β- Thalassemia.

Thalassemia is an inherited blood disorder in which the body produces defective hemoglobin. One of t...

Nov 2021 35355750
Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...

(1)
Nov 2021 34858564
Demystifying the long noncoding RNA landscape of small EVs derived from human mesenchymal stromal cells.

INTRODUCTION: The regenerative capacity of mesenchymal stromal cells or medicinal signaling cells (M...

Nov 2021 35777918
Predicting completion of clinical trials in pregnant women: Cox proportional hazard and neural network models.

This study aimed to develop a model for predicting the completion of clinical trials involving pregn...

(2)
Nov 2021 34735737
A deep learning method for counting white blood cells in bone marrow images.

BACKGROUND: Differentiating and counting various types of white blood cells (WBC) in bone marrow sme...

Nov 2021 34749635
Effects of Robot-Assisted Gait Training in Patients With Multiple Sclerosis: A Single-Blinded Randomized Controlled Study.

OBJECTIVE: This study aims to evaluate and compare the effects of conventional and robot-assisted ga...

Oct 2021 34686632
Evaluation Technology of Classroom Students' Learning State Based on Deep Learning.

Facial features are an effective representation of students' fatigue state, and the eye is more clos...

(1)
Oct 2021 34712318
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