Speaker: Berta Caunedo Castro. Abstract: This Final Degree Project evaluates Platelet-Rich Plasma (PRP) therapy as an alternative to traditional treatments for knee osteoarthritis, a prevalent joint condition. PRP uses regenerative growth factors from the patient’s blood, but its variability complicates standardization and research. The project aims to predict PRP treatment efficacy using machine learning, with data organized into six categories: Prescriptions, Patients, Analysis, Infiltrations, Treatment, and Follow-ups. By processing and analyzing this data with a linear regression model, the study assesses PRP’s therapeutic potential. It underscores the importance of quantitative clinical data and Evidence-Based Medicine for informed decision-making.
