Decision Support Systems for Early Detection of Alzheimer's Disease

Abstract

According to the latest report from Alzheimer's Disease International, nearly 55 million people worldwide are living with dementia. The World Health Organization estimates the number will triple by 2050, along with encouragement that timely diagnosis, early therapy treatments, and lifestyle changes can significantly postpone the further progression of the disease. In this talk will be presented research on decision support systems in healthcare that can aid early detection of Alzheimer’s disease, the most common form of dementia. The research is based on complementary techniques of Natural Language Processing and Computer Vision and conducted on publicly available datasets.
 
Lecturers

Teodora Srećković and Milica Vukašinović are both fourth-year students at the School of Electrical Engineering, University of Belgrade. The research on decision support systems in healthcare was conducted as part of the Summer Internship Program in 2023 at the Mathematical Institute of the Serbian Academy of Sciences and Arts, which is well-known for its academic excellence. They explored the capacity of the latest techniques of Natural Language Processing and Computer Vision in the field of dementia under the supervision of Anđelka Zečević. The results were also presented in the seminar Decision Making - covering the theory, technology, and practical application at the Mathematical Institute.