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 358-378 of 3,517 articles
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, ...

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...

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...

Hybrid Method Incorporating a Rule-Based Approach and Deep Learning for Prescription Error Prediction.

INTRODUCTION: Recently, automated detection has been a new approach to address the risks posed by pr...

Mechanisms and Methods to Understand Depressive Symptoms.

Depressive symptoms, feelings of sadness, anger, and loss that interfere with a person's daily life,...

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...

Superelastic, Antifreezing, Antidrying, and Conductive Organohydrogels for Wearable Strain Sensors.

Sensors based on conductive hydrogels have received extensive attention in various fields, such as a...

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...

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...

Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emer...

Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...

A Driving Performance Forecasting System Based on Brain Dynamic State Analysis Using 4-D Convolutional Neural Networks.

Vehicle accidents are the primary cause of fatalities worldwide. Most often, experiencing fatigue on...

MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain.

Medical images are difficult to comprehend for a person without expertise. The scarcity of medical p...

A High-Efficiency Fatigued Speech Feature Selection Method for Air Traffic Controllers Based on Improved Compressed Sensing.

Air traffic controller fatigue has recently received considerable attention from researchers because...

Role of Serum and Urinary Hepcidin in Young Females of Reproductive Age in North India.

 Iron deficiency is one of the most common nutritional disorders in the world affecting young femal...

A Liquid Metal Artificial Muscle.

Artificial muscles possess a vast potential in accelerating the development of robotics, exoskeleton...

Model-based data augmentation for user-independent fatigue estimation.

OBJECTIVE: User-independent recognition of exercise-induced fatigue from wearable motion data is cha...

Crack Length Measurement Using Convolutional Neural Networks and Image Processing.

Fatigue failure is a significant problem in the structural safety of engineering structures. Human i...

Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks.

Tasks which require sustained attention over a lengthy period of time have been a focal point of cog...

Cancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis.

Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment...

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