Analysis of mental health during COVID-19 pandemic

S Singu - International Journal of Sustainable Development in …, 2022 - ijsdcs.com
As a major virus outbreak in the 21st century, the Coronavirus disease 2019 (COVID-19)
pandemic has led to unprecedented hazards to mental health globally. While psychological …

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals

ESA El-Dahshan, MM Bassiouni, SK Khare… - Expert Systems with …, 2024 - Elsevier
Background Hypertension is a crucial health indicator because it provides subtle details
about a patient's cardiac health. Photoplethysmography (PPG) signals are a critical …

A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal

N Jiwani, K Gupta, MHU Sharif… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
Neurologists visually inspect electroencephalogram (EEG) reports to get the epilepsy
diagnosis. Scholars have suggested automated techniques to detect the ailment due to the …

Machine Learning-based Evaluation of Heart Rate Variability Response in Children with Autism Spectrum Disorder

VA Mohammed, MA Mohammed… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
At present, various electronic devices are used to monitor human heart rates. However, its
functions are to avoid predicting the problems caused by heart rate variability in advance …

Evaluation of antioxidant potential and antimicrobial activity

N Meenigea - Transactions on Latest Trends in Health Sector, 2022 - ijsdcs.com
An increasing demand for natural additives has shifted the attention from synthetic to natural
antioxidants. As leafy vegetables are found to be good source of antioxidants and the …

Deep Learning for Automated Lesion Detection in Mammography

T Marimuthu, VA Rajan, GV Londhe… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Deep learning for automated lesion detection in mammography has gained widespread
attention due to its potential to reduce the time needed for radiologists to detect lesions …

[PDF][PDF] Automated Knowledge Transfer for Medical Image Segmentation Using Deep Learning

J Mistry - Journal of Xidian University, 2024 - researchgate.net
The usage of deep trends for scientific photograph segmentation has seen a speedy
increase in recognition in recent years of today's capability to generate accurate photo …

In hospital deprescribing in the real world

N Meenigea - Transactions on Latest Trends in Artificial Intelligence, 2022 - ijsdcs.com
In hospital deprescribing is the process of safely reducing or stopping medication use when
it is no longer necessary or potentially harmful. In the real world, successful implementation …

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)

A Gudigar, NA Kadri, U Raghavendra… - Computers in Biology …, 2024 - Elsevier
Artificial intelligence (AI) techniques are increasingly used in computer-aided diagnostic
tools in medicine. These techniques can also help to identify hypertension (HTN) in its early …

A Neural Network Approach For Malware Classification

K Gupta, N Jiwani, MHU Sharif… - 2022 International …, 2022 - ieeexplore.ieee.org
Malicious program is commonly known as malware, which is purposely designed to cause
problems in networks and harm in a variety of ways. Malware's primary goal is to disrupt …