• Amol Tribhuwan
• Suvarna Lehekar
• Dr. M. M. Dhobe

One major health problem has been the prevalence of chronic diseases across the world. Seven chronic diseases are among the top 10 global causes of death in 2019, according to the World Health Organization. Over sixty-three percent of all deaths globally are caused by chronic diseases. Bad lifestyle choices are the main cause of heart disease, diabetes, hypertension, and other prevalent chronic disorders. Chronic diseases can lead to damage to an individual's vital organs, including the heart, kidney, eye, and brain, among others. One of the significant medical conditions is ongoing kidney illness (CKD). It is expanding consistently because of unfortunate dietary patterns, deficient water utilization, and absence of wellbeing mindfulness. CKD is a condition wherein the kidneys are harmed over the long haul because of different causes, bringing about a moderate and irreversible loss of kidney capability. The goal is to analyze ML classifier among the best for identifying and anticipating CKD using Kernel Techniques.

Machine Learning, Kernel Techniques, Chronic Kidney Diseases, Diabetic, Naïve Bayes, SVM, Logistic

"Determining Chronic Diseases using Logistic Regression Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.f20-f27, June-2024, Available :http://www.jetir.org/papers/JETIR2406503.pdf

"Determining Chronic Diseases using Logistic Regression Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppf20-f27, June-2024, Available at : http://www.jetir.org/papers/JETIR2406503.pdf