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Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data
Autism spectrum disorder (ASD) is a developmental disorder, affecting about 1% of the global population. Currently, the only clinical method for diagnosing ASD are standardized ASD tests which require prolonged diagnostic time and increased medical costs. Our objective was to explore the predictive...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384273/ https://www.ncbi.nlm.nih.gov/pubmed/30828295 http://dx.doi.org/10.3389/fncom.2019.00009 |