Paper Info
Title
Data mining for automated diagnosis of neurological and psychiatric disorders.
Abstract
In this keynote lecture, the author presents novel algorithms for data mining of time-series data and automated electroencephalogram (EEG)-based diagnosis of neurological and psychiatric disorders based on adroit integration of three different computing technologies and problem solving paradigms: neural networks, wavelets, and the chaos theory. Examples of the research performed by the author and his associates for automated diagnosis of epilepsy, the Alzheimeru0027s Disease, Attention Deficit Hyperactivity Disorder (ADHD), autism spectrum disorder (ASD), and Parkinsonu0027s disease (PD) are reviewed.
Year
Venue
Field
2017
ICC
Attention deficit hyperactivity disorder,Data mining,Disease,Computer science,Epilepsy,Psychiatry,Autism spectrum disorder,Electroencephalography
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Hojjat Adeli12150148.37