Explainable machine learning analysis reveals sex and gender differences in the phenotypic and neurobiological markers of Cannabis Use Disorder

Cannabis Use Disorder (CUD) has been linked to a complex set of neuro-behavioral risk factors. While many studies have revealed sex and gender differences, the relative importance of these risk factors by sex and gender has not been described. We used an “explainable” machine learning approach that...

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Detalles Bibliográficos
Autores principales: Niklason, Gregory R., Rawls, Eric, Ma, Sisi, Kummerfeld, Erich, Maxwell, Andrea M., Brucar, Leyla R., Drossel, Gunner, Zilverstand, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482622/
https://www.ncbi.nlm.nih.gov/pubmed/36115920
http://dx.doi.org/10.1038/s41598-022-19804-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482622/
https://www.ncbi.nlm.nih.gov/pubmed/36115920
http://dx.doi.org/10.1038/s41598-022-19804-2

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