Autism Diagnosis: An Artificial Intelligence Approach [Hardcover]

Recognizing the limitations of existing diagnostic methods, this volume emphasizes the need for a multidisciplinary approach, using the collective strengths of AI, biomedical engineering, and applied neuroscience. This convergence promises to enhance diagnostic accuracy and also to streamline the process, facilitating timely interventions.

Wellington Pinheiro dos Santos is the Head of the Department of Biomedical Engineering at the Federal University of Pernambuco (UFPE) and the Coordinator of the Biomedical Computing Laboratory at UFPE. He holds a Bachelor's degree in Electrical and Electronic Engineering (2001) and a Master's degree in Electrical Engineering (2003) from UFPE, and earned his PhD in Electrical Engineering from the Federal University of Campina Grande in 2009. At UFPE, Dr. dos Santos is actively involved in both undergraduate and graduate programs in Biomedical Engineering. Since 2009, he has also been a member of the Graduate Program in Computer Engineering at the Escola Polit?cnica de Pernambuco, Universidade de Pernambuco. Additionally, he is a Researcher at the Institute of the Economic-Industrial Complex (ICEIS), where he coordinates the Biomedical Computing and Bioengineering axes. He is a member of the Brazilian Society of Biomedical Engineering (SBEB), the Brazilian Society of Computational Intelligence (SBIC), the Brazilian Society for Health Informatics (SBIS), and the International Federation of Medical and Biological Engineering (IFMBE).

?

Fl?vio Secco Fons?ca earned his degree in Mechatronics Engineering from the University of Pernambuco in 2017. Currently, he works as a faculty member in the Analysis and Systems Development courses at the Universidade Tiradentes (UNIT). Previously, he was a professor at the Center for Education for Vocational Education (CEPEP). With a focus on Mechatronics and the steel industry, he has experience in Mecl“w