Deep learning for personalized health monitoring and prediction: A review

R Damaševičius, SK Jagatheesaperumal… - Computational …, 2024 - Wiley Online Library
Personalized health monitoring and prediction are indispensable in advancing healthcare
delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging …

Health Disparities Through Generative AI Models: A Comparison Study Using a Domain Specific Large Language Model

YJP Bautista, C Theran, R Aló, V Lima - Proceedings of the Future …, 2023 - Springer
Health disparities are differences in health outcomes and access to healthcare between
different groups, including racial and ethnic minorities, low-income people, and rural …

Deep Learning for Personalized Health Monitoring and Prediction: A Review

RK NVPS, R Damaševicˇius… - Authorea …, 2023 - techrxiv.org
Personalized health monitoring and prediction have become essential for improving health-
care delivery, especially with the growing prevalence of chronic diseases and an aging …

A Comprehensive Review of Driver Drowsiness Detection Systems and Applied Technologies

A Gupta, A Tiwari, AS Chauhan… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Drowsiness among drivers is a significant contributing factor to traffic injuries, leading to a
yearly toll of severe injuries and fatalities. This study reviews the literature in-depth on …

[PDF][PDF] How Privacy-Enhanced Technologies (Pets) are Transforming Digital Healthcare Delivery

KSP Nivarthi - core.ac.uk
Abstract Privacy Enhancing Technologies (PETs) are playing a crucial role in maturing
digital healthcare delivery for mainstream adaption from both a social and regulatory …

Can LLMs improve existing scenario of healthcare?

PP Ray - Journal of Hepatology, 2024 - journal-of-hepatology.eu
Overestimation of LLM abilities: The paper paints an optimistic picture of LLMs as potential
tools for patient education and physician assistance. While the versatility of ChatGPT is …