Now showing items 71-76 of 76
Automatic Classification of Hypertension Types Based on Personal Features by Machine Learning Algorithms
(Hindawi Ltd, 2020)
Hypertension (high blood pressure) is an important disease seen among the public, and early detection of hypertension is significant for early treatment. Hypertension is depicted as systolic blood pressure higher than 140 ...
A non-invasive continuous cuffless blood pressure estimation using dynamic Recurrent Neural Networks
(Elsevier Sci Ltd, 2020)
Cardiovascular diseases (CVD) have become the most important health problem of our time. High blood pressure, which is cardiovascular disease, is a risk factor for death, stroke, and heart attack. Blood pressure measurement ...
Parkinson disease classification using one against all based data sampling with the acoustic features from the speech signals
(Churchill Livingstone, 2020)
Parkinson's disease (PD) is a long-term degenerative disease that primarily affects the motor system of the central nervous system. This disease is difficult to diagnose and is one of the common diseases in the public. In ...
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands of people have lost their lives to this disease. ...
The Effect of Training and Testing Process on Machine Learning in Biomedical Datasets
(Hindawi Ltd, 2020)
Training and testing process for the classification of biomedical datasets in machine learning is very important. The researcher should choose carefully the methods that should be used at every step. However, there are ...
Random fully connected layered 1D CNN for solving the Z-bus loss allocation problem
(Elsevier Sci Ltd, 2021)
Power loss allocation methods should be efficient enough to meet the needs of the customers on the bus and effectively calculate the losses from generators and consumers. In order to perform these tasks, a highly robust ...