Currently, digital transformation has occurred in most countries in the world to varying degrees, but digitizing business processes are complex in terms of understanding the …
With the rise of the Internet and social media, information has become available at our fingertips. However, on the dark side, these advancements have opened doors for …
KR Vineetha, MS Maharajan, K Bhagyashree… - e-Prime-Advances in …, 2024 - Elsevier
A steady deterioration in kidney function over months or years is known as chronic kidney disease (CKD). Through a range of techniques, such as pharmacological intervention in …
X Zhuang, Z Yi, Y Wang, Y Chen, S Yu - Heliyon, 2024 - cell.com
Enhancing teaching sufficiency is crucial because low teaching efficiency has always been a widespread issue in ideological and political theory course. Evaluating data on the course …
M Jaipurkar, N Ragit, C Tambuskar… - … on Reliability, Infocom …, 2024 - ieeexplore.ieee.org
Chronic Renal Disease (CRD) poses a significant global health concern, impacting approximately one in five men and one in four women. Its insidious progression and late …
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 …
MB Malik, M Ali, S Bashir, SM Ganie - International Conference on Artificial …, 2023 - Springer
Chronic kidney disease is one of the most fatal diseases affecting people worldwide. As a result, it is critical to forecast and identify this illness as early as possible, enabling medical …
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 …
M Kumar - … Journal of Computational Materials Science & …, 2024 - search.ebscohost.com
Chronic kidney disease (CKD) is listed among the top 20 leading causes of death worldwide, highlighting the urgent need for effective methods of early disease prediction for …