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 …

[HTML][HTML] A machine learning approach for risk factors analysis and survival prediction of Heart Failure patients

MM Ali, VS Al-Doori, N Mirzah, AA Hemu, I Mahmud… - Healthcare …, 2023 - Elsevier
In this study, we propose machine learning (ML) for risk factors analysis and survival
prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML …

Automation and decision support in the area of nephrology using numerical algorithms, artificial intelligence and expert approach-review of the current state of …

D Pawuś, T Porażko, S Paszkiel - IEEE Access, 2024 - ieeexplore.ieee.org
This study explores the contemporary landscape of integrating numerical algorithms,
artificial intelligence (AI), and expert methodologies within the domain of nephrology …

Optimization of the machine learning approach using Optuna in heart disease prediction

S Hadianti, WAG Kodri - Journal Medical Informatics Technology, 2023 - medinftech.org
Heart disease prediction is a critical area in healthcare, as early identification and accurate
assessment of cardiovascular risks can lead to improved patient outcomes. This study …

A hybrid machine learning approach to predict the risk of having stroke

MM Hassan, M Raihan, MHB Khan, T Dhali… - Proceedings of the 2nd …, 2022 - dl.acm.org
Strokes are among the most well-known genuine sicknesses influencing human well being.
Early detection may be able to prevent or mitigate its effects. An AI model is a promising …