[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development

A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

[HTML][HTML] A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease

R Sawhney, A Malik, S Sharma, V Narayan - Decision Analytics Journal, 2023 - Elsevier
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 …

A comprehensive analysis on detecting chronic kidney disease by employing machine learning algorithms

MM Nishat, F Faisal, RR Dip… - … on Pervasive Health …, 2021 - publications.eai.eu
Abstract INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive
deterioration of kidney functions. However, the impairment is irreversible and imperceptible …

Machine learning hybrid model for the prediction of chronic kidney disease

H Khalid, A Khan, M Zahid Khan… - Computational …, 2023 - Wiley Online Library
To diagnose an illness in healthcare, doctors typically conduct physical exams and review
the patient's medical history, followed by diagnostic tests and procedures to determine the …

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 …

Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique

SA Suha, MN Islam - Heliyon, 2023 - cell.com
Polycystic ovary syndrome (PCOS) is the most frequent endocrinological anomaly in
reproductive women that causes persistent hormonal secretion disruption, leading to the …

A Novel Approach to Optimize Prediction Method for Chronic Kidney Disease with the Help of Machine Learning Algorithm

SS Vellela, LR Vuyyuru… - … and Informatics (IC3I …, 2023 - ieeexplore.ieee.org
The loss of kidney function is called Chronic Kidney Disease (CKD). Over a period of years
or months, Chronic Kidney Disease is an uncharacteristic functioning of kidney or a failure of …

Implementation of machine learning algorithms to detect the prognosis rate of kidney disease

FMJM Shamrat, P Ghosh, MH Sadek… - … for innovation in …, 2020 - ieeexplore.ieee.org
The chronic kidney disease is the loss of kidney function. Often time, the symptoms of the
disease is not noticeable and a significant amount of lives are lost annually due to the …

[PDF][PDF] Chronic kidney disease prediction using machine learning models

S Revathy, B Bharathi, P Jeyanthi… - International Journal of …, 2019 - researchgate.net
The field of biosciences have advanced to a larger extent and have generated large
amounts of information from Electronic Health Records. This have given rise to the acute …

[PDF][PDF] Performance Comparison of Grid Search and Random Search Methods for Hyperparameter Tuning in Extreme Gradient Boosting Algorithm to Predict Chronic …

DA Anggoro, SS Mukti - International Journal of Intelligent Engineering & …, 2021 - inass.org
The kidneys have an essential role in the body; if it does not work properly, it will cause
disease, one of which is chronic kidney failure (CRF). Therefore, a machine learning …