An automated detection of heart arrhythmias using machine learning technique: SVM

CU Kumari, ASD Murthy, BL Prasanna… - Materials Today …, 2021 - Elsevier
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 …

Skin cancer detection and classification using machine learning

MK Monika, NA Vignesh, CU Kumari, M Kumar… - Materials Today …, 2020 - Elsevier
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 …

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 …

Bruxism detection using single‐channel C4‐A1 on human sleep S2 stage recording

MBB Heyat, D Lai, F Akhtar, MAB Hayat… - … data analysis: from …, 2020 - Wiley Online Library
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 …

Machine learning ECG classification using wavelet scattering of feature extraction

HA Marzog, HJ Abd - Applied Computational Intelligence and …, 2022 - Wiley Online Library
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 …

Novel deep neural network for individual re recognizing physically disabled individuals

ASD Murthy, T Karthikeyan, BOL Jagan… - Materials Today …, 2020 - Elsevier
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 …

[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 …

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 …

Applications of Machine Learning to Skin Cancer Detection

AJ Prakash, G Satpathy, R Raman… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
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 …

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 …