Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
Mini-Review
Adaptive Surrogate Models for Enhanced Patient Monitoring and Treatment Optimization
Author(s): Thiele Takako*
By integrating patient data with sophisticated algorithms, dynamic surrogate models provide clinicians with invaluable insights, enabling
personalized and proactive healthcare delivery. This article explores the role of dynamic surrogate models in patient monitoring and treatment
optimization, highlighting their benefits, challenges and future prospects. Dynamic surrogate models are emerging as powerful tools in healthcare
for patient monitoring and treatment optimization. These models leverage advanced computational techniques to simulate patient physiology,
predict disease progression and optimize treatment strategies in real-time... Read More»
DOI:
10.37421/2229-8711.2024.15.379
Global Journal of Technology and Optimization received 847 citations as per Google Scholar report