Early Chronic Kidney Disease Identification using ML and DL Methods

Chronic diseases are diseases which tend to last for a longer period. And have substantial growth over a period of time. While Chronic kidney disease is one of the chronic diseases it is caused due to gradual loss of kidney functioning over time. Kidney is crucial organ in human body as it filters out waste products and unnecessary fluids through urine. By using glomerular filtration rate Aka GFR a method which measure kidneys ability to filter blood. There are many factors which are contributing to CKD among them diabetes and hypertension plays a significant role. It is observed that Machine learning algorithms such as Random forests and SVM able to classify a person having CKD or not but Deep learning models like vgg16 and deep neural networks have higher accuracy

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-03-16
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.37870
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early Chronic Kidney Disease Identification using ML and DL Methods

K. Manoj kumar -
International Journal For Multidisciplinary Research
Artificial Intelligence in Healthcare
article

Early Chronic Kidney Disease Identification using ML and DL Methods

K. Manoj kumar -
article en

Abstract

Chronic diseases are diseases which tend to last for a longer period. And have substantial growth over a period of time. While Chronic kidney disease is one of the chronic diseases it is caused due to gradual loss of kidney functioning over time. Kidney is crucial organ in human body as it filters out waste products and unnecessary fluids through urine. By using glomerular filtration rate Aka GFR a method which measure kidneys ability to filter blood. There are many factors which are contributing to CKD among them diabetes and hypertension plays a significant role. It is observed that Machine learning algorithms such as Random forests and SVM able to classify a person having CKD or not but Deep learning models like vgg16 and deep neural networks have higher accuracy

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 94%
Artificial Intelligence in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.