[HTML][HTML] An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review

R Guido, S Ferrisi, D Lofaro, D Conforti - Information, 2024 - mdpi.com
Support vector machines (SVMs) are well-known machine learning algorithms for
classification and regression applications. In the healthcare domain, they have been used …

[HTML][HTML] A multi-objective optimization framework for determining optimal chemotherapy dosing and treatment duration

I Abdulrashid, D Delen, B Usman, MI Uzochukwu… - Healthcare …, 2024 - Elsevier
Traditional randomized clinical trials are regarded as the gold standard for assessing the
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …

[HTML][HTML] Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

R Guerra - Italian Journal of Medicine, 2024 - italjmed.org
In hospital settings, effective risk management is critical to ensuring patient safety, regulatory
compliance, and operational effectiveness. Conventional approaches to risk assessment …

A Systematic Review of the Role of Gerontechnology and AI in Revolutionizing the Wellbeing Landscape for Aging Adults

S Singh, V Nambiar - Applications of Virtual and Augmented Reality …, 2024 - igi-global.com
The application of AI in geriatric healthcare has become a revolutionary and essential
solution to tackling the problems faced by older people. An important step toward providing …

[PDF][PDF] Healthcare Analytics

I Abdulrashid, D Delen, B Usman, MI Uzochukwu… - researchgate.net
Traditional randomized clinical trials are regarded as the gold standard for assessing the
efficacy of chemotherapy. However, this procedure has drawbacks such as high cost, time …