In this research workshop, we explore medical information from over half a million patients using the UK BioBank medical database.
Our focus is on predicting Fibromyalgia, a chronic pain disorder. Its diagnosis and management pose challenges due to the lack of definitive tests and the multifaceted nature of the condition, requiring a comprehensive approach involving medication, therapy, and lifestyle adjustments.
Our objective is to build a machine learning-based model that can accurately predict Fibromyalgia based on specific data.
The project aims to leverage the vast medical dataset to develop a predictive model that can aid in early diagnosis and personalized treatment of Fibromyalgia. The use of advanced machine learning techniques will enable us to uncover valuable insights and enhance patient care in the field of fibromyalgia.