Date of Award
Spring 5-2020
Document Type
Thesis
Degree Name
Bachelor Degree
Department
Computer Science
First Advisor
Bertan Karahoda
Language
English
Abstract
The growth and development of Artificial Intelligence (AI) is fast becoming a powerful influence in our present day reality. In medicine there is a vast number of patients who suffers or even dies for the cause of the late detection of their disorders. Some of the biggest research institutes have been able to contribute in some areas of medicine by creating different complex systems. Even though this field is having a wide range of applications, there is still a lack in the field of neuroscience. In this thesis we will prove how efficiently ANNs can be used in early detection of neurological disorders. In this case we have included studies of Alzheimer's disease, aphasia and dyslexia, epilepsy, stroke, Parkinson's disease, schizophrenia, depression, and many related problems. We will present the whole process by using some neural models and learning methods. Finally, we will discuss the big role that ANNs have and its applications in many fields in research and development.
DOI
10.33107/ubt-etd.2020.2428
Recommended Citation
Gela, Gresa, "USING NEURAL NETWORKS TO PREDICT NEUROLOGICAL DISORDERS" (2020). Theses and Dissertations. 1915.
https://knowledgecenter.ubt-uni.net/etd/1915