Enhancing the early detection of chronic kidney disease: A robust machine learning model

MS Arif, A Mukheimer, D Asif - Big Data and Cognitive Computing, 2023 - mdpi.com
Clinical decision-making in chronic disorder prognosis is often hampered by high variance,
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …

A two-stage feature selection approach using hybrid quasi-opposition self-adaptive coati optimization algorithm for breast cancer classification

K Thirumoorthy - Applied Soft Computing, 2023 - Elsevier
Breast cancer (BC) is one of the leading causes of high mortality rates among women. An
early disease diagnosis is crucial in breast cancer's treatment for improving the survival rate …

Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models

DM Alsekait, H Saleh, LA Gabralla, K Alnowaiser… - Applied Sciences, 2023 - mdpi.com
Chronic kidney disease (CKD) refers to the gradual decline of kidney function over months
or years. Early detection of CKD is crucial and significantly affects a patient's decreasing …

Review on enhancing clinical decision support system using machine learning

A Masood, U Naseem, J Rashid, J Kim… - CAAI Transactions on …, 2024 - Wiley Online Library
Clinical decision‐making is a complex patient‐centred process. For an informed clinical
decision, the input data is very thorough ranging from detailed family history, environmental …

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 …

Big Data Analytics Using Artificial Intelligence

AH Gandomi, F Chen, L Abualigah - Electronics, 2023 - mdpi.com
Data analytics using artificial intelligence is the process of leveraging advanced AI
techniques to extract insights and knowledge from large and complex datasets [1]. This …

Risk Prediction Model for Chronic Kidney Disease in Thailand Using Artificial Intelligence and SHAP

MC Tsai, B Lojanapiwat, CC Chang, K Noppakun… - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) is a multifactorial, complex condition that requires proper
management to slow its progression. In Thailand, 11.6 million people (17.5%) have CKD …

[HTML][HTML] Classification of adaptive back propagation neural network along with fuzzy logic in chronic kidney disease

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 …

Assessing classical and evolutionary preprocessing approaches for breast cancer diagnosis

AHA Monfared, K Borna - 2024 20th CSI International …, 2024 - ieeexplore.ieee.org
The utilization of evolutionary machine learning has demonstrated efficacy in addressing
challenges related to medical data mining. Medical data mining is an important branch of …

Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features

G Manoj, V Gupta, A Bhattacharya, SGA Aleem… - Multimedia Tools and …, 2024 - Springer
In this study, we analyzed the performance of the morphological features (MF) and
morphological distance-related features (MDRF) in the classification of autism spectrum …