An automated detection of heart arrhythmias using machine learning technique: SVM
Electrocardiogram (ECG) is widely used technique in study of heart beat irregularities such
as cardiac arrhythmias, sinus rhythms and heart failure. It is a significant and popular …
as cardiac arrhythmias, sinus rhythms and heart failure. It is a significant and popular …
Skin cancer detection and classification using machine learning
Skin cancer is considered as one of the most dangerous types of cancers and there is a
drastic increase in the rate of deaths due to lack of knowledge on the symptoms and their …
drastic increase in the rate of deaths due to lack of knowledge on the symptoms and their …
Heart rhythm abnormality detection and classification using machine learning technique
CU Kumari, R Ankita, T Pavani… - … on Trends in …, 2020 - ieeexplore.ieee.org
Electrocardiogram (ECG) plays important role in detection and classification of cardiac
irregularities. This research presents the approach for classification of heartbeat irregularity …
irregularities. This research presents the approach for classification of heartbeat irregularity …
Bruxism detection using single‐channel C4‐A1 on human sleep S2 stage recording
The snooze (or sleep) is a physical phenomenon of the human life. If the human snooze is
disturbed, it generates many diseases to the body, including mental disease, heart disease …
disturbed, it generates many diseases to the body, including mental disease, heart disease …
Machine learning ECG classification using wavelet scattering of feature extraction
The heart's electrical activity is registered by an electrocardiogram (ECG), which consists of
a wealth of pathological data on heart diseases such as arrhythmia. However, with …
a wealth of pathological data on heart diseases such as arrhythmia. However, with …
Novel deep neural network for individual re recognizing physically disabled individuals
The MLF-CNN includes a proposition production phase and also a diagnosis stage. In the
first stage, they develop an MLF area proposal system and also pop the question to utilize a …
first stage, they develop an MLF area proposal system and also pop the question to utilize a …
[PDF][PDF] Skin Melanoma Cancer Detection and Classification using Machine Learning
B Chaugule, K Bomble, S Jundare, N Maske… - Int. J. Sci. Res. Sci …, 2023 - academia.edu
Skin cancer is a common and potentially life-threatening disease that affects millions of
people worldwide. Early detection and accurate classification of skin lesions are critical for …
people worldwide. Early detection and accurate classification of skin lesions are critical for …
COVID-19 diagnosis using VGG-16 with CT scans
P Yadlapalli, P Kora, U Kumari… - … for Advancement in …, 2022 - ieeexplore.ieee.org
Artificial intelligence techniques known as deep learning are a collection of approaches that
use interconnected networks to capture higher levels of abstraction in scene data. Analysis …
use interconnected networks to capture higher levels of abstraction in scene data. Analysis …
Applications of Machine Learning to Skin Cancer Detection
Owing to shortage of awareness regarding signs and measures for prophylaxis, skin cancer
(SC), among the most severe kinds of carcinoma (Ca), is actively destroying far more people …
(SC), among the most severe kinds of carcinoma (Ca), is actively destroying far more people …
Detection of sleep apnea using polysomnographic signals
C Usha Kumari, SK, MK - F1000Research, 2022 - f1000research.com
Introduction Sleep is important in humans, and it is affected by lifestyle changes. Improper
sleep leads to serious physiological problems and disorders that occurs in human …
sleep leads to serious physiological problems and disorders that occurs in human …