A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease
SA Ebiaredoh-Mienye, TG Swart, E Esenogho… - Bioengineering, 2022 - mdpi.com
The high prevalence of chronic kidney disease (CKD) is a significant public health concern
globally. The condition has a high mortality rate, especially in developing countries. CKD …
globally. The condition has a high mortality rate, especially in developing countries. CKD …
Towards convergence of IoT and blockchain for secure supply chain transaction
Supply chain management (SCM) is essential for a company's faster, efficient, and effective
product life cycle. However, the current SCM systems are insufficient to provide product …
product life cycle. However, the current SCM systems are insufficient to provide product …
AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID …
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity
burden that may exceed diagnosis and management capabilities. The situation worsens …
burden that may exceed diagnosis and management capabilities. The situation worsens …
[HTML][HTML] Convergence of Blockchain, k-medoids and homomorphic encryption for privacy preserving biomedical data classification
Data privacy on the Internet of Medical Things (IoMT) remains a critical concern when
handling biomedical data. While extant studies focus on cryptography and differential …
handling biomedical data. While extant studies focus on cryptography and differential …
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation …
Urinary system stone disease is a common disease group all over the world. Ureteral stones
constitute 20% of all urinary system stones. Ureteral stones are important because they can …
constitute 20% of all urinary system stones. Ureteral stones are important because they can …
Early prediction of chronic kidney disease: A comprehensive performance analysis of deep learning models
C Mondol, FMJM Shamrat, MR Hasan, S Alam… - Algorithms, 2022 - mdpi.com
Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve
survivability, early discovery and good management are encouraged. In this paper, CKD …
survivability, early discovery and good management are encouraged. In this paper, CKD …
Data-driven early diagnosis of chronic kidney disease: development and evaluation of an explainable AI model
PA Moreno-Sánchez - IEEE Access, 2023 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is currently experiencing a growing worldwide incidence
and can lead to premature mortality if diagnosed late, resulting in rising costs to healthcare …
and can lead to premature mortality if diagnosed late, resulting in rising costs to healthcare …
A Review of Machine Learning Algorithms for Biomedical Applications
VA Binson, S Thomas, M Subramoniam, J Arun… - Annals of Biomedical …, 2024 - Springer
As the amount and complexity of biomedical data continue to increase, machine learning
methods are becoming a popular tool in creating prediction models for the underlying …
methods are becoming a popular tool in creating prediction models for the underlying …
[HTML][HTML] A multi-class deep learning model for early lung cancer and chronic kidney disease detection using computed tomography images
Lung cancer is a fatal disease caused by an abnormal proliferation of cells in the lungs.
Similarly, chronic kidney disorders affect people worldwide and can lead to renal failure and …
Similarly, chronic kidney disorders affect people worldwide and can lead to renal failure and …
Examining the risk factors of liver disease: a machine learning approach
Nowadays, Liver Disease (LD) is a very common clinical problem for human health and is
related to morbidity and mortality. Nevertheless, an earlier prognosis of LD patients gets a …
related to morbidity and mortality. Nevertheless, an earlier prognosis of LD patients gets a …