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Individualized identification of sexual dysfunction of psychiatric patients with machine-learning
Sexual dysfunction (SD) is prevalent in patients with mental health disorders and can significantly impair their quality of life. Early recognition of SD in a clinical setting may help patients and clinicians to optimize treatment options of SD and/or other primary diagnoses taking SD risk into acco...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187754/ https://www.ncbi.nlm.nih.gov/pubmed/35688888 http://dx.doi.org/10.1038/s41598-022-13642-y |