The significance of machine learning in clinical disease diagnosis: A review

SM Rahman, S Ibtisum, E Bazgir, T Barai - arXiv preprint arXiv:2310.16978, 2023 - arxiv.org
The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …

Machine learning techniques for chronic kidney disease risk prediction

E Dritsas, M Trigka - Big Data and Cognitive Computing, 2022 - mdpi.com
Chronic kidney disease (CKD) is a condition characterized by progressive loss of kidney
function over time. It describes a clinical entity that causes kidney damage and affects 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 …

Efficient data preprocessing with ensemble machine learning technique for the early detection of chronic kidney disease

VK Venkatesan, MT Ramakrishna, I Izonin… - Applied Sciences, 2023 - mdpi.com
It is a serious global health concern that chronic kidney disease (CKD) kills millions of
people each year as a result of poor lifestyle choices and inherited factors. Effective …

Skin cancer detection using convolutional neural network

DC Malo, MM Rahman, J Mahbub… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
The advancement of artificial intelligence is reshaping various sectors of our lives including
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …

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 …

Prediction for chronic kidney disease by categorical and non_categorical attributes using different machine learning algorithms

S Pal - Multimedia Tools and Applications, 2023 - Springer
Chronic kidney disease (CKD) is a common disease as it is difficult to diagnose early due to
its lack of symptoms. The main goal is to first diagnose kidney failure, which is a requirement …

[Retracted] A Novel Approach to Predict Brain Cancerous Tumor Using Transfer Learning

MM Khan, AS Omee, T Tazin, FA Almalki… - … Methods in Medicine, 2022 - Wiley Online Library
As the most prevalent and deadly malignancy, brain tumors have a dismal survival rate
when they are at their most hazardous. Using mostly traditional medical image processing …

Multiple disease prediction system using machine learning and streamlit

LD Gopisetti, SKL Kummera… - … on Smart Systems …, 2023 - ieeexplore.ieee.org
There are many existing machine learning models related to health care which mainly
focuses on detecting only one disease. Therefore, this study has developed a system to …

[HTML][HTML] ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application

RK Halder, MN Uddin, MA Uddin, S Aryal… - Journal of Pathology …, 2024 - Elsevier
Chronic kidney diseases (CKDs) are a significant public health issue with potential for
severe complications such as hypertension, anemia, and renal failure. Timely diagnosis is …