CAD-CKD: a computer aided diagnosis system for chronic kidney disease using automated BiGSqENet in the Internet of Things platform

K Venkatrao, K Shaik - Evolving Systems, 2024 - Springer
A fast and efficient disease diagnosis system based on IoT data is challenging since the
data has high data redundancy. To formulate this, many pre-processing techniques and …

Real-Time Wavelet Processing and Classifier Algorithms Enabling Single-Channel Diagnosis of Lower Urinary Tract Dysfunction

SJA Majerus, M Abdelhady, V Abbaraju, J Han… - … Learning Applications in …, 2024 - Springer
Cystometry measures the behavior of the bladder and is commonly used to evaluate how
the lower urinary tract functions during urine storage and voiding phases. Cystometry …

Multilevel Ensemble Method to Identify Risks in Chronic Kidney Disease Using Hybrid Synthetic Data

K Shouryadhar, PK Rao… - 2022 13th International …, 2022 - ieeexplore.ieee.org
This research was conducted with the goals of developing models that have an accurate
classification of chronic kidney disease (CKD) and locating significant prognostic factors …

A lime-based explainable machine learning technique for the risk prediction of chronic kidney disease

A Vijayvargiya, A Raghav, A Bhardwaj… - … Engineering & their …, 2023 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is on the rise in the current research scenario. The main
function of the kidney is to remove and purify the waste and blood in the human body …

An Intelligent Tracking System for Moving Objects in Dynamic Environments

N Ali Hakami, HA Hosni Mahmoud, AA AlArfaj - Actuators, 2022 - mdpi.com
Localization of suspicious moving objects in dynamic environments requires high accuracy
mapping. A deep learning model is proposed to track crossing moving objects in the …

Cross Classification Matrix to Evaluate the Performance of Machine Learning Algorithms in Predicting Students Performance of Developing Regions

I Dad, J He, W Noor, A Samad, I Ullah, S Ara - SN Computer Science, 2024 - Springer
In the rapidly evolving landscape of education, the integration of Big Data and AI presents
significant opportunities for improving educational outcomes, especially in the context of …

An Automated Deep Learning Approach for Kidney Disease Detection

MM Ali, J Agrawal, T Mishra… - … Conference on Integrated …, 2023 - ieeexplore.ieee.org
Chronic kidney disease (CKD) may cause significant damage to a person's kidneys or lead
to renal failure, which can be deadly. Kidney stones are a common symptom and may lead …

CKD. Net: A novel deep learning hybrid model for effective, real-time, automated screening tool towards prediction of multi stages of CKD along with eGFR and …

S Akter, M Ahmed, A Al Imran, A Habib… - Expert Systems with …, 2023 - Elsevier
Clinical tests have long been considered appropriate in diagnosing chronic kidney disease
(CKD) because of their noninvasiveness, simplicity, and cost. Timely detection and …

A BrainNet (BrN) based new approach to classify brain stroke from CT scan images

D Tripura, I Haque, M Dutta, S Dev… - … on Advancement in …, 2023 - ieeexplore.ieee.org
Worldwide, brain stroke is known as the 2nd leading cause of death, and based on Indian
history, three people have suffered every minute. There are mainly two different types of …

Modified arithmetic optimization with fusion based deep learning for chronic kidney disease classification on internet of medical environment

TB Prasad Reddy, CP Venkata Srinivasa Rao… - AIP Conference …, 2024 - pubs.aip.org
Nowadays, Internet of Medical Things (IoMT) and cloud computing (CC) is typically used in
various healthcare requests by the amalgamation of intensive care objects like medical …