Complex predictive analysis for health care: a comprehensive review

D Srivastava, H Pandey, AK Agarwal - Bulletin of Electrical Engineering …, 2023 - beei.org
Healthcare organizations accept information technology in a management system. A huge
volume of data is gathered by healthcare system. Analytics offers tools and approaches for …

Detection and classification of anxiety in university students through the application of machine learning

S Bhatnagar, J Agarwal, OR Sharma - Procedia Computer Science, 2023 - Elsevier
Mental Health has recently transformed into a domain that caused interest in almost every
field and has garnered attention in recent years, millions of people suffer due to mental …

A systematic hybrid machine learning approach for stress prediction

C Ding, Y Zhang, T Ding - PeerJ Computer Science, 2023 - peerj.com
Stress is becoming an increasingly prevalent health issue, seriously affecting people and
putting their health and lives at risk. Frustration, nervousness, and anxiety are the symptoms …

Performance evaluation of optimizers in the classification of marble surface quality using CNN

RG Tiwari, DS Yadav, A Misra - Proceedings of Third Doctoral Symposium …, 2022 - Springer
The recital of a convolutional neural network (CNN) is dependent on several things (ie,
optimization, weight initialization, network topology, batches and epochs and activation/loss …

CIS feature selection based dynamic ensemble selection model for human stress detection from EEG signals

L Malviya, S Mal - Cluster Computing, 2023 - Springer
Stress has an impact not only on a person's physical health but also on his or her ability to
perform at work, passion, and attitude in day-to-day life. It is one of the most difficult …

Classification of swarm collective motion using machine learning

RG Tiwari, SK Yadav, A Misra, A Sharma - Human-Centric Smart …, 2022 - Springer
One of the subfields of artificial intelligence (AI) technology is machine learning. The basic
goal is to develop robots that can learn in the same way that humans can.“Learning” here …

Intelligent Heart Disease Prediction System Using Data Mining Modeling Techniques

S Bhardwaj, S Jain, NK Trivedi, A Kumar… - Soft Computing: Theories …, 2022 - Springer
Most of the time reason for death is considered as due to heart disease throughout the
world. Usually, heart disease cannot be predicted by medical doctors in the early stage of …

Identifying microscopic augmented images using pre-trained deep convolutional neural networks

RG Tiwari, A Misra, V Khullar… - 2021 International …, 2021 - ieeexplore.ieee.org
Because of the success of deep learning in multiple sectors, it is gaining unquestionable
acceptance in the therapeutic field also. The key challenge is determining how to construct a …

Virtual Reality Sensor Based IoT Embedded System for Stress Diagnosis

A Ahilan, MA Rejula, SN Kumar… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
In today's scenario, mental stress is common among people. Stress can be defined as
tension arising due to daily life's emotional, psychological, and physical pressures. It has …

[HTML][HTML] Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices

E Lazarou, TP Exarchos - AIMS Neuroscience, 2024 - aimspress.com
Stress has emerged as a prominent and multifaceted health concern in contemporary
society, manifesting detrimental effects on individuals' physical and mental health and well …