Kidney failure detection and predictive analytics for ckd using machine learning procedures

SM Nimmagadda, SS Agasthi, A Shai… - … Methods in Engineering, 2023 - Springer
Kidneys are the functional units of our body. They assist in body balance by filtering the
wastes, toxins, and excess water from the bloodstream and are carried out of the body …

Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis

H Singh, RK Tripathy, RB Pachori - Digital Signal Processing, 2020 - Elsevier
The heartbeat interval (HBI) signal (RR-time series), and electrocardiogram (ECG) derived
respiration (EDR) signal quantify the information about the cardiopulmonary activity, and …

Snake-efficient feature selection-based framework for precise early detection of chronic kidney disease

WN Ismail - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) refers to impairment of the kidneys that may worsen over
time. Early detection of CKD is crucial for saving millions of lives. As a result, several studies …

Kidney disease prediction using a machine learning approach: A comparative and comprehensive analysis

SK Arjaria, AS Rathore, JS Cherian - … big data, machine learning, and deep …, 2021 - Elsevier
In our competitive world, the lifestyles of human beings are very irregular. Irregularities in
eating habits, daily routines, and workloads create a lot of tension that in turn leads to many …

Advanced ultrasound methods to improve chronic kidney disease diagnosis

S Fleig, ZA Magnuska, P Koczera, J Salewski… - npj Imaging, 2024 - nature.com
Chronic kidney disease (CKD) affects 850 million people worldwide and is associated with
significant cardiovascular morbidity and mortality. Routine laboratory tests do not reflect …

Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images

A Gudigar, U Raghavendra, J Samanth… - … Signal Processing and …, 2021 - Elsevier
Chronic Kidney disease (CKD) is a progressive disease affecting more than twenty million
individuals in the United States. Disease progression is often characterized by complications …

Use of metrological characteristics in ultrasound imaging and artificial intelligence techniques for disease prediction in soft tissue organs

Kriti, R Agarwal - Handbook of Metrology and Applications, 2023 - Springer
The global population nowadays is severely affected by various diseases of the soft tissue
organs caused mainly because of some infection, heredity, change of lifestyle, etc. The …

Texture branch network for chronic kidney disease screening based on ultrasound images

P Hao, Z Xu, S Tian, F Wu, W Chen, J Wu… - Frontiers of Information …, 2020 - Springer
Chronic kidney disease (CKD) is a widespread renal disease throughout the world. Once it
develops to the advanced stage, serious complications and high risk of death will follow …

A hybrid random forest classifier for chronic kidney disease prediction from 2D ultrasound kidney images

DM Alex, DA Chandy, AH Christinal… - … Journal of Pattern …, 2022 - World Scientific
Chronic kidney disease (CKD) is one of the causes of mortality in almost all countries across
the globe and the notable thing is its asymptomatic nature in the early stages. This disease …

Fusion of B‐mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma

TH Pham, O Faust, JEW Koh, EJ Ciaccio… - Expert …, 2022 - Wiley Online Library
In this study, we evaluate and compare the diagnostic performance of ultrasound for non‐
invasive axillary lymph node (ALN) metastasis detection. The study was based on fusing …