[HTML][HTML] A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease
Abstract Chronic Kidney Disease (CKD) is one of the most prevalent and fatal diseases
influencing people on a larger that remains dormant until irreversible damage has been …
influencing people on a larger that remains dormant until irreversible damage has been …
Diagnosis of chronic kidney disease using effective classification algorithms and recursive feature elimination techniques
EM Senan, MH Al-Adhaileh, FW Alsaade… - Journal of healthcare …, 2021 - Wiley Online Library
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …
[HTML][HTML] Performance analysis of cost-sensitive learning methods with application to imbalanced medical data
Many real-world machine learning applications require building models using highly
imbalanced datasets. Usually, in medical datasets, the healthy patients or samples are …
imbalanced datasets. Usually, in medical datasets, the healthy patients or samples are …
Exploring the landscape of automatic text summarization: a comprehensive survey
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …
to automatically create summaries of enormous amounts of text so that readers can save …
Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques
Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …
[HTML][HTML] A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean
Drought is a natural hazard which affects ecosystems in the eastern Mediterranean.
However, limited historical data for drought monitoring and forecasting are available in the …
However, limited historical data for drought monitoring and forecasting are available in the …
Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
[HTML][HTML] Intelligent diagnostic prediction and classification models for detection of kidney disease
Kidney disease is a major public health concern that has only recently emerged. Toxins are
removed from the body by the kidneys through urine. In the early stages of the condition, the …
removed from the body by the kidneys through urine. In the early stages of the condition, the …
Spatiotemporal dynamics of global population and heat exposure (2020–2100): Based on improved SSP-consistent population projections
To address future environmental change and consequent social vulnerability, a better
understanding of future population (FPOP) dynamics is critical. In this regard, notable …
understanding of future population (FPOP) dynamics is critical. In this regard, notable …
[Retracted] Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features
In numerous perilous cases, a quick medical decision is needed for the early detection of
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …