Applied machine learning for personalised early intervention in autism
Contribuinte(s) |
Venkatesh, Svetha Duong, Thi Phung, Dinh |
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Data(s) |
01/05/2016
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Resumo |
This thesis is the first to address the problems of early intervention in Autism Spectrum Disorder through the lens of machine learning and data analytics. The key contribution is the establishment of large datasets in this domain for the first time together with a systematic data-based approach to extract knowledge relevant to Autism. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Faculty of Science, Engineering and Built Environment, School of Information Technology |
Relação |
http://dro.deakin.edu.au/eserv/DU:30089075/vellanki-agreement-2016.pdf http://dro.deakin.edu.au/eserv/DU:30089075/vellanki-appliedmachine-2016A.pdf |
Direitos |
The author |
Palavras-Chave | #Autism #Early intervention #Assistive technology #Developmental disorders #Computing |
Tipo |
Thesis |