[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development
A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …
large quantity of data. Many robust early detection services and other health-related …
Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
Machine learning for predicting chronic diseases: a systematic review
FM Delpino, ÂK Costa, SR Farias… - Public Health, 2022 - Elsevier
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 …
[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 …
Prediction of chronic kidney disease-a machine learning perspective
P Chittora, S Chaurasia, P Chakrabarti… - IEEE …, 2021 - ieeexplore.ieee.org
Chronic Kidney Disease is one of the most critical illness nowadays and proper diagnosis is
required as soon as possible. Machine learning technique has become reliable for medical …
required as soon as possible. Machine learning technique has become reliable for medical …
[HTML][HTML] A deep neural network for early detection and prediction of chronic kidney disease
Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD).
Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers …
Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers …
[HTML][HTML] Chronic kidney disease prediction using machine learning techniques
DA Debal, TM Sitote - Journal of Big Data, 2022 - Springer
Goal three of the UN's Sustainable Development Goal is good health and well-being where
it clearly emphasized that non-communicable diseases is emerging challenge. One of the …
it clearly emphasized that non-communicable diseases is emerging challenge. One of the …
[HTML][HTML] Predicting the risk of chronic kidney disease (ckd) using machine learning algorithm
Background: Creatinine is a type of metabolite of blood that is strongly correlated to
glomerular filtration rate (GFR). As measuring GFR is difficult, creatinine value is used for …
glomerular filtration rate (GFR). As measuring GFR is difficult, creatinine value is used for …
Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …
Predicting chronic kidney disease using machine learning algorithms
In the modern era, everyone tries to be aware of their health, but because of their workload
and hectic schedules, they only pay attention to it when certain symptoms appear. However …
and hectic schedules, they only pay attention to it when certain symptoms appear. However …