Exploring the therapeutic significance of microRNAs and lncRNAs in kidney diseases
LA Bravo-Vázquez, S Paul, MG Colín-Jurado… - Genes, 2024 - mdpi.com
MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) are two crucial classes of
transcripts that belong to the major group of non-coding RNAs (ncRNAs). These RNA …
transcripts that belong to the major group of non-coding RNAs (ncRNAs). These RNA …
[HTML][HTML] Hybrid missing data imputation and novel weight convolution neural network classifier for chronic kidney disease diagnosis
T Saroja, Y Kalpana - Measurement: Sensors, 2023 - Elsevier
CKD (chronic kidney disease) have been identified as a serious public health concern
globally. Machine learning models can successfully enable physicians to reach this aim …
globally. Machine learning models can successfully enable physicians to reach this aim …
Optoelectronic sensor fault detection based predictive maintenance smart industry 4.0 using machine learning techniques
C Zhu, S Shao - Optical and Quantum Electronics, 2023 - Springer
Production equipment maintenance is essential for maintaining productivity and company
continuity. For industrial equipment to operate well and for the efficient planning of demand …
continuity. For industrial equipment to operate well and for the efficient planning of demand …
A machine learning-based early diagnosis model for chronic kidney disease using SPegasos
M Norouzi, EA Kahriman - … Modeling Analysis in Health Informatics and …, 2024 - Springer
Abstract Chronic Kidney Disease is now one of the most severe illnesses that requires an
immediate diagnosis. Previous research has shown that machine-learning techniques are …
immediate diagnosis. Previous research has shown that machine-learning techniques are …
Improving Prediction of Chronic Kidney Disease Using KNN Imputed SMOTE Features and TrioNet Model.
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 …
diagnosis. Machine learning has emerged as a powerful tool for disease detection, and …
Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements
B Metherall, AK Berryman, GS Brennan - medRxiv, 2024 - medrxiv.org
Background: Chronic kidney disease (CKD) is a global health concern with early detection
playing a pivotal role in effective management. Machine learning models demonstrate …
playing a pivotal role in effective management. Machine learning models demonstrate …