Backpropagation neural network-based machine learning model for prediction of blood urea and glucose in CKD patients
Diabetes mellitus and its complication such as heart disease, stroke, kidney failure, etc. is a
serious concern all over the world. Hence, monitoring some important blood parameters non …
serious concern all over the world. Hence, monitoring some important blood parameters non …
Blood glucose prediction using machine learning on jetson nanoplatform
Monitoring blood glucose non‐invasively is utmost important with good accuracy. Here, we
developed a blood glucose monitoring system with 5‐fixed LED wavelengths in Near …
developed a blood glucose monitoring system with 5‐fixed LED wavelengths in Near …
Enhanced Accuracy for Glucose Prediction Using Neural Network
Monitoring of blood glucose levels is of utmost importance due to the high incidence of
diabetes in our society. There is a need for a non-invasive method that is cost-effective and …
diabetes in our society. There is a need for a non-invasive method that is cost-effective and …
[PDF][PDF] Backpropagation Neural Network-Based Machine Learning Model for Prediction of Blood Urea and Glucose in CKD Patients
M JIVANPARAB, C PINTO, G NAIK - 2021 - academia.edu
Diabetes mellitus and its complication such as heart disease, stroke, kidney failure, etc. is a
serious concern all over the world. Hence, monitoring some important blood parameters non …
serious concern all over the world. Hence, monitoring some important blood parameters non …