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[HTML][HTML] Machine-learning-based disease diagnosis: A comprehensive review
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
A survey on multimodal data-driven smart healthcare systems: approaches and applications
Multimodal data-driven approach has emerged as an important driving force for smart
healthcare systems with applications ranging from disease analysis to triage, diagnosis and …
healthcare systems with applications ranging from disease analysis to triage, diagnosis and …
[HTML][HTML] Chronic kidney disease prediction based on machine learning algorithms
Chronic kidney disease (CKD) is a dangerous ailment that can last a person's entire life and
is caused by either kidney malignancy or decreased kidney functioning. It is feasible to halt …
is caused by either kidney malignancy or decreased kidney functioning. It is feasible to halt …
A machine learning methodology for diagnosing chronic kidney disease
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality
rate, and it induces other diseases. Since there are no obvious symptoms during the early …
rate, and it induces other diseases. Since there are no obvious symptoms during the early …
Machine learning hybrid model for the prediction of chronic kidney disease
To diagnose an illness in healthcare, doctors typically conduct physical exams and review
the patient's medical history, followed by diagnostic tests and procedures to determine the …
the patient's medical history, followed by diagnostic tests and procedures to determine the …
[Retracted] Comparative Analysis for Prediction of Kidney Disease Using Intelligent Machine Learning Methods
GM Ifraz, MH Rashid, T Tazin… - … Methods in Medicine, 2021 - Wiley Online Library
Chronic kidney disease (CKD) is a major burden on the healthcare system because of its
increasing prevalence, high risk of progression to end‐stage renal disease, and poor …
increasing prevalence, high risk of progression to end‐stage renal disease, and poor …
An ensemble machine learning based bank loan approval predictions system with a smart application
Banks rely heavily on loans as a primary source of revenue; however, distinguishing
deserving applicants who will reliably repay loans presents an ongoing challenge …
deserving applicants who will reliably repay loans presents an ongoing challenge …
Detection of chronic kidney disease using machine learning algorithms with least number of predictors
Chronic kidney disease (CKD) is one of the most critical health problems due to its
increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms …
increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms …
[HTML][HTML] Intelligent diagnostic prediction and classification models for detection of kidney disease
Kidney disease is a major public health concern that has only recently emerged. Toxins are
removed from the body by the kidneys through urine. In the early stages of the condition, the …
removed from the body by the kidneys through urine. In the early stages of the condition, the …
Machine learning for predicting chronic diseases: a systematic review
Objectives We aimed to review the literature regarding the use of machine learning to
predict chronic diseases. Study design This was a systematic review. Methods The searches …
predict chronic diseases. Study design This was a systematic review. Methods The searches …