Classification model of machine learning for medical data analysis
Abstract Machine learning algorithms are newly emerging, cost-effective, and accurate
techniques that are used in image recognition, speech recognition, and automation systems …
techniques that are used in image recognition, speech recognition, and automation systems …
Cardiac Diseases detection by multimodal cardiac data classification using CNN-ANN cascaded algorithm
R Srivastava, KK Patel, S Singh… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper presents early heart disease detection considering multimodal physiological
parameters classification using a cascaded combination of Convolutional Neural Network …
parameters classification using a cascaded combination of Convolutional Neural Network …
Accuracy assessment of a hand-held PPG based ECG acquisition device using 2-D CNN
R Srivastava, KK Patel, B Kumar - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper presents an accuracy assessment of a hand-held ECG acquisition device using 2-
D convolutional neural network (CNN) based multi-classification of electrocardiogram (ECG) …
D convolutional neural network (CNN) based multi-classification of electrocardiogram (ECG) …
Cardiac Arrhythmias Classification and Detection for Medical Industry Using Wavelet Transformation and Probabilistic Neural Network Architecture
R Tandon - World of Business with Data and Analytics, 2022 - Springer
One of the most important tasks in medical technology industry is to achieve a maximum
correctness in the detection of cardiac arrhythmias disorders. In this paper, author tries to …
correctness in the detection of cardiac arrhythmias disorders. In this paper, author tries to …