[HTML][HTML] Integrating enhanced sparse autoencoder-based artificial neural network technique and softmax regression for medical diagnosis
SA Ebiaredoh-Mienye, E Esenogho, TG Swart - Electronics, 2020 - mdpi.com
In recent times, several machine learning models have been built to aid in the prediction of
diverse diseases and to minimize diagnostic errors made by clinicians. However, since most …
diverse diseases and to minimize diagnostic errors made by clinicians. However, since most …
Performance assessment of classification algorithms on early detection of liver syndrome
In the recent era, a liver syndrome that causes any damage in life capacity is exceptionally
normal everywhere throughout the world. It has been found that liver disease is exposed …
normal everywhere throughout the world. It has been found that liver disease is exposed …
[HTML][HTML] Cost-sensitive ensemble feature ranking and automatic threshold selection for chronic kidney disease diagnosis
Automated medical diagnosis is one of the important machine learning applications in the
domain of healthcare. In this regard, most of the approaches primarily focus on optimizing …
domain of healthcare. In this regard, most of the approaches primarily focus on optimizing …
[PDF][PDF] Diagnosis of Chronic Kidney Disease using Naïve Bayes algorithm Supported by Stage Prediction using eGFR
AV Ikechukwu, K Nivedha, NM Prakruthi, F Fathima… - 2020 - researchgate.net
The proliferation of data and availability of open source tools has simplified the diagnosis of
diseases such as CKD (Chronic Kidney Disease). As one of the types of kidney disease …
diseases such as CKD (Chronic Kidney Disease). As one of the types of kidney disease …