Optimization and classification of developmental brain diseases using machine learning of functional brain networks
نویسندگان
چکیده
منابع مشابه
Autism Classification Using Brain Functional Connectivity Dynamics and Machine Learning
The goal of the present study is to identify autism using machine learning techniques and resting-state brain imaging data, leveraging the temporal variability of the functional connections (FC) as the only information. We estimated and compared the FC variability across brain regions between typical, healthy subjects and autistic population by analyzing brain imaging data from a world-wide mul...
متن کاملBrain Tumor Classification Using Machine Learning
Medical imaging has becoming as a transpire discipline in diversified medical diagnosis. It has been plays a vital role in automatic detection, which bestows information about abnormalities for further treatment. The traditional approach of detecting MRI has been based on manual inspection, which has become inappropriate for vast volume of data. Automated tumor detection has gaining importance ...
متن کاملthe relationship between using language learning strategies, learners’ optimism, educational status, duration of learning and demotivation
with the growth of more humanistic approaches towards teaching foreign languages, more emphasis has been put on learners’ feelings, emotions and individual differences. one of the issues in teaching and learning english as a foreign language is demotivation. the purpose of this study was to investigate the relationship between the components of language learning strategies, optimism, duration o...
15 صفحه اولBrain Functional Connectivity Changes During Learning of Time Discrimination
The human brain is a complex system consist of connected nerve cells that adapts with and learn from the environment by changing its regional activities. Synchrony between these regional activities called functional network changes during the life, and with learning of new skills. Time perception and interval discrimination are among the most necessary skills for the human being to perceive mot...
متن کاملTrust Classification in Social Networks Using Combined Machine Learning Algorithms and Fuzzy Logic
Social networks have become the main infrastructure of today’s daily activities of people during the last decade. In these networks, users interact with each other, share their interests on resources and present their opinions about these resources or spread their information. Since each user has a limited knowledge of other users and most of them are anonymous, the trust factor plays an import...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IBRO Reports
سال: 2019
ISSN: 2451-8301
DOI: 10.1016/j.ibror.2019.07.1474