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A machine learning approach to predicting psychosis using semantic density and latent content analysis
Subtle features in people’s everyday language may harbor the signs of future mental illness. Machine learning offers an approach for the rapid and accurate extraction of these signs. Here we investigate two potential linguistic indicators of psychosis in 40 participants of the North American Prodrom...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565626/ https://www.ncbi.nlm.nih.gov/pubmed/31197184 http://dx.doi.org/10.1038/s41537-019-0077-9 |