Graduation Semester and Year
Summer 2024
Language
English
Document Type
Thesis
Degree Name
Master of Science in Mathematics
Department
Mathematics
First Advisor
Dr. Suvra Pal
Second Advisor
Dr. Shan Sun-Mitchell
Third Advisor
Dr. Qiang Zheng
Abstract
The study focuses on healing of chronic wound. A cure rate and probabilities of patients are calculated and visualized byusing Proportional Hazards Mixture Cure (PHMC) Model. This study reveals that alkaline wounds tend to heal slower than non-alkaline wounds, with significant differences between male and female patients. To be specific, males generally exhibit slower wound healing in both alkaline and non-alkaline conditions compared to females. This study also reveals the need for future research into biological, environmental and social factors, such as hormonal imbalance, living conditions and caregiver support among the patients.
Keywords
survival, mixture cure model, wound, healing, alkalinity, PHMC
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Khayar, Anoushka, "Evaluating Factors Influencing Wound Healing: A Mixture Cure Rate Model Approach" (2024). Mathematics Theses. 19.
https://mavmatrix.uta.edu/math_theses/19