Chronic kidney disease prediction using boosting techniques based on clinical parameters
Chronic kidney disease (CKD) has become a major global health crisis, causing millions of
yearly deaths. Predicting the possibility of a person being affected by the disease will allow …
yearly deaths. Predicting the possibility of a person being affected by the disease will allow …
[PDF][PDF] Detecting malicious URLs using binary classification through ada boost algorithm.
Malicious Uniform Resource Locator (URL) is a frequent and severe menace to
cybersecurity. Malicious URLs are used to extract unsolicited information and trick …
cybersecurity. Malicious URLs are used to extract unsolicited information and trick …
A review of data mining schemes for prediction of diabetes mellitus and correlated ailments
In this era of multi-disciplinary research there has been a leading domain coming forth. This
is none other than a blend of medical sciences and computing technologies. So far as …
is none other than a blend of medical sciences and computing technologies. So far as …
[PDF][PDF] Prediction of chronic and infectious diseases using machine learning classifiers-A systematic approach
N Kumar, K Sikamani - Int. J. Intell. Eng. Syst, 2020 - inass.org
Infectious and chronic diseases devastate millions of people across the world each year.
Nonetheless, each type of disease substantiates differently. According to the National …
Nonetheless, each type of disease substantiates differently. According to the National …
[PDF][PDF] Influence of Class Imbalance and Resampling on Classification Accuracy of Chronic Kidney Disease Detection.
Accepted: 22 October 2022 Chronic kidney disease is one of the leading causes of death
around the world. Early detection of chronic kidney disease is crucial to the reduction of …
around the world. Early detection of chronic kidney disease is crucial to the reduction of …
An ensemble deep learning approach for Chronic kidney disease (CKD) prediction
A form of chronic disease-related kidney that causes a progressive decrease in kidney
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
A drug recommendation system for multi-disease in health care using machine learning
N Komal Kumar, D Vigneswari - International Conference on Advanced …, 2019 - Springer
The remarkable technological advancements in the health care industry have improved
recently for the betterment of patients' life and providing better clinical decisions …
recently for the betterment of patients' life and providing better clinical decisions …
Improvement of Alzheimer disease diagnosis accuracy using ensemble methods
MA Al-Hagery, EI Al-Fairouz… - Indonesian Journal of …, 2020 - section.iaesonline.com
Nowadays, there is a significant increase in the medical data that we should take advantage
of that. The application of the machine learning via the data mining processes, such as data …
of that. The application of the machine learning via the data mining processes, such as data …
[PDF][PDF] The Performance of Machine Learning for Chronic Kidney Disease Diagnosis
TA Assegie, YB Chekol - Emerging Science Innovation, 2023 - pdfs.semanticscholar.org
This paper aims to review the performance of different machine learning (ML) models and
develop models for the automated diagnosis of chronic kidney disease. To detect chronic …
develop models for the automated diagnosis of chronic kidney disease. To detect chronic …
[PDF][PDF] A novel ensemble modeling for intrusion detection system
PI Priyadarsini, G Anuradha - International Journal of Electrical and …, 2020 - core.ac.uk
Vast increase in data through internet services has made computer systems more
vulnerable and difficult to protect from malicious attacks. Intrusion detection systems (IDSs) …
vulnerable and difficult to protect from malicious attacks. Intrusion detection systems (IDSs) …