[HTML][HTML] FuDNN-FOSMO: Early detection of Chronic Kidney Disease using FuDNN with Fractional Order Sequence Optimization Algorithm Classifier

G Pandiselvi, CP Chandran, S Rajathi - e-Prime-Advances in Electrical …, 2024 - Elsevier
Early diagnosis and prediction of chronic kidney disease (CKD) progress within a given
duration are critical to ensure personalized treatment, which could improve patients' quality …

Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model.

N Alturki, A Altamimi, M Umer… - … in Engineering & …, 2024 - search.ebscohost.com
Chronic kidney disease (CKD) is a major health concern today, requiring early and accurate
diagnosis. Machine learning has emerged as a powerful tool for disease detection, and …

Leveraging Double-Valued Neutrosophic Set for Real-Time Chronic Kidney Disease Detection and Classification

G Nalinipriya, M Suneetha, M Mikhailova… - International Journal …, 2024 - americaspg.com
Chronic kidney disease (CKD) is a non-communicable disease that has made a significant
contribution to admission, morbidity, and mortality rates of patients globally. CKD is a …

Classification of Online News Articles Using Optimized Deep Learning Models

P Malaviya, H Patel, P Sanghavi… - … on Intelligent and …, 2024 - ieeexplore.ieee.org
Text mining has gained considerable importance in recent years, especially in the last few.
Users can now get information from many different places, such as digital media, print …

Chronic Kidney Disease Diagnosis Using Conditional Variational Generative Adversarial Networks and Squirrel Search Algorithm

BM Brinda, C Rajan - Information Technology and Control, 2023 - itc.ktu.lt
Globally, the prevalence of chronic kidney disease (CKD) is steadily increasing. Computer-
aided automated diagnostic (CAD) methods play a significant part in predicting CKD. Due to …

An Analysis of Machine Learning Algorithms for Chronic Kidney Disease Prediction

A Arora, C Sehgal, N Agarwal - 2024 14th International …, 2024 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a critical global health concern, especially in low-and
middle-income nations, where compromised kidney function hinders effective blood …

An Efficient Crop Yield Prediction System Using Machine Learning

D Swain, S Lakum, S Patel, P Patro - … Endorsed Transactions on …, 2024 - publications.eai.eu
Farming is considered the biggest factor in strengthening the economy of any country. It also
has significant effects on GDP growth. However, due to a lack of information and …

An intelligent cardiac arrest detection using boosting based classifier

D Swain, D Adhikari, NK Swain, H Kaur - AIP Conference Proceedings, 2023 - pubs.aip.org
When it comes to the identification of diseases, clinical science is often biased. Several
diseases in clinical science can lead to death due to a lack of timely prediction. Among these …

Designing a Smart IoT Environment by Predicting Chronic Kidney Disease Using Kernel Based Xception Deep Learning Model.

S Joteppa, SK Balraj, N Cheruku… - Revue d' …, 2024 - search.ebscohost.com
Abstract Chronic Kidney Disease (CKD) is often asymptomatic in its early stages, and
patients may not experience noticeable symptoms until the disease has significantly …

Detection of Kidney Disease in X-Ray Images Using Machine Learning on MobileNetV3 CNN Model

KS Gill, V Anand, R Chauhan, P Singh… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Classifying kidney pictures or patient data according to various disease categories, such as
stages of chronic kidney disease (CKD), PKD, kidney stones, renal tumours, and other …