Background In the big data era, the healthcare sector grapples with increased data volumes
and the push for more intelligent medical devices. This challenge is marked by data silos …

The increasing occurrence of Hypertension highlights the need for advanced predictive tools
in healthcare. This research proposes a novel approach that combines machine and deep …

This paper gives a performance analysis of multiple vote classifiers based on meta-
classification methods for estimating the risk of diabetes. The study's dataset includes a …

The study has been conducted to understand the effectiveness of CNN in the case of
“COVID-19” detection by using all the X-ray images of the chest. This helps the health sector …

This study investigates the manner in which to diagnose and treat Parkinson's disease using
deep learning-based medical robotics. The study analyses the possibilities of these …

The study of appropriate and accurate classification for “autism spectrum disorder (ASD)” is
crucial, and this study,“Behavioral and Clinical Data Analysis for Autism Spectrum Disorder …

In this study, depression and anxiety markers found in text data are carefully targeted in
order to use Natural Language Processing (NLP) techniques to the evaluation of mental …

This study examines how to use ultrasound data to predict cardiac failure using a deductive
methodology, interpretive theoretical framework, and a descriptive design of research. The …

This study also evaluates the role of RL algorithms like Q-learning, DQN and Policy Gradient
Methods including DDPG in relation to implementation within DRSA for CRNs. By using …

Hypertension, a primary cause of mortality as well as morbidity in the cardiovascular system,
demands accurate prediction models to ensure effective treatment and preventative …