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Testing the accuracy of an observation-based classifier for rapid detection of autism risk
Current approaches for diagnosing autism have high diagnostic validity but are time consuming and can contribute to delays in arriving at an official diagnosis. In a pilot study, we used machine learning to derive a classifier that represented a 72% reduction in length from the gold-standard Autism...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150240/ https://www.ncbi.nlm.nih.gov/pubmed/25116834 http://dx.doi.org/10.1038/tp.2014.65 |