[HTML][HTML] Performance analysis of cost-sensitive learning methods with application to imbalanced medical data
Many real-world machine learning applications require building models using highly
imbalanced datasets. Usually, in medical datasets, the healthy patients or samples are …
imbalanced datasets. Usually, in medical datasets, the healthy patients or samples are …
A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease
SA Ebiaredoh-Mienye, TG Swart, E Esenogho… - Bioengineering, 2022 - mdpi.com
The high prevalence of chronic kidney disease (CKD) is a significant public health concern
globally. The condition has a high mortality rate, especially in developing countries. CKD …
globally. The condition has a high mortality rate, especially in developing countries. CKD …
Enhancing the early detection of chronic kidney disease: a robust machine learning model
MS Arif, A Mukheimer, D Asif - Big Data and Cognitive Computing, 2023 - mdpi.com
Clinical decision-making in chronic disorder prognosis is often hampered by high variance,
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …
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 …
wastes, toxins, and excess water from the bloodstream and are carried out of the body …
A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases
This study aims to use a machine learning (ML)-based enhanced diagnosis and survival
model to predict heart disease and survival in heart failure by combining the cuckoo search …
model to predict heart disease and survival in heart failure by combining the cuckoo search …
A comparative study, prediction and development of chronic kidney disease using machine learning on patients clinical records
Abstract Chronic Kidney Disease (CKD) has become a major problem in modern times, and
it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues …
it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues …
[图书][B] Decision Support System: Tools and Techniques
S Bandyopadhyay - 2023 - taylorfrancis.com
This book presents different tools and techniques used for Decision Support Systems (DSS),
including decision tree and table, and their modifications, multi-criteria decision analysis …
including decision tree and table, and their modifications, multi-criteria decision analysis …
Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review
NG Ramadhan, W Maharani, AA Gozali - IEEE Access, 2024 - ieeexplore.ieee.org
According to the World Health Organization (WHO), some chronic diseases such as
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …
diabetes mellitus, stroke, cancer, cardiac vascular, kidney failure, and hypertension are …
A catalogue of machine learning algorithms for healthcare risk predictions
Extracting useful knowledge from proper data analysis is a very challenging task for efficient
and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) …
and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) …
Enhanced prediction of chronic kidney disease using feature selection and boosted classifiers
Chronic kidney disease (CKD) is a widespread illness affecting humans globally. It poses a
significant challenge for societies and global health care systems. Specialized screening …
significant challenge for societies and global health care systems. Specialized screening …