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AUCD’s Maternal and Child Health Engagement supports the Autism CARES Programs, including LEND and DBP Programs.

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Project

Using Machine Learning with Real-World Data to Identify Autism Risk in Children

Center:

CA-USC, Childrens Hospital, UCEDD/LEND

Fiscal Year:

2022

Contact Information:

Larry Yin
[email protected]
323-361-3855

Project Description:

This project uses cutting edge machine learning and natural language processing approaches to build an autism spectrum disorder (ASD) risk prediction model from children's electronic health records (HER). Identifying ASD early is critical to ensure appropriate treatment and improve later outcomes.

Keyword(s):

Core Function(s):

Performing Research or Evaluation, Other Direct/Model Services

Area of Emphasis

Education & Early Intervention, Child Care-Related Activities, Health-Related Activities

Target Audience:

Professionals and Para-Professionals, Children/Adolescents with Disabilities/SHCN, Legislators/Policy Makers, General Public

Unserved or Under-served Populations:

Racial or Ethnic Minorities, Disadvantaged Circumstances, Limited English, Geographic Areas, Empowerment Zone, Rural/Remote, Specific Groups

Primary Target Audience Geographic Descriptor:

State, Regional

Funding Source: