[HTML][HTML] Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
[HTML][HTML] Applications of machine learning predictive models in the chronic disease diagnosis
This paper reviews applications of machine learning (ML) predictive models in the diagnosis
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …
The role of machine learning algorithms for diagnosing diseases
I Ibrahim, A Abdulazeez - Journal of Applied Science and Technology …, 2021 - jastt.org
Nowadays, machine learning algorithms have become very important in the medical sector,
especially for diagnosing disease from the medical database. Many companies using these …
especially for diagnosing disease from the medical database. Many companies using these …
[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 …
[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 …
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 …
Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study
NA Almansour, HF Syed, NR Khayat… - Computers in biology …, 2019 - Elsevier
This paper aims to assist in the prevention of Chronic Kidney Disease (CKD) by utilizing
machine learning techniques to diagnose CKD at an early stage. Kidney diseases are …
machine learning techniques to diagnose CKD at an early stage. Kidney diseases are …
[HTML][HTML] Intelligent diagnostic prediction and classification system for chronic kidney disease
M Elhoseny, K Shankar, J Uthayakumar - Scientific reports, 2019 - nature.com
At present times, healthcare systems are updated with advanced capabilities like machine
learning (ML), data mining and artificial intelligence to offer human with more intelligent and …
learning (ML), data mining and artificial intelligence to offer human with more intelligent and …
Multiple disease prediction using Machine learning algorithms
Data mining for healthcare is an interdisciplinary field of study that originated in database
statistics and is useful in examining the effectiveness of medical therapies. Machine learning …
statistics and is useful in examining the effectiveness of medical therapies. Machine learning …
Detection and diagnosis of chronic kidney disease using deep learning-based heterogeneous modified artificial neural network
F Ma, T Sun, L Liu, H Jing - Future Generation Computer Systems, 2020 - Elsevier
The prevalence of chronic kidney disease (CKD) increases annually in the present scenario
of research. One of the sources for further therapy is the CKD prediction where the Machine …
of research. One of the sources for further therapy is the CKD prediction where the Machine …