Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records

The diagnostic process of attention deficit hyperactivity disorder (ADHD) is complex and relies on criteria sensitive to subjective biases. This may cause significant delays in appropriate treatment initiation. An automated analysis relying on subjective and objective measures might not only simplif...

Descripción completa

Detalles Bibliográficos
Autores principales: Mikolas, Pavol, Vahid, Amirali, Bernardoni, Fabio, Süß, Mathilde, Martini, Julia, Beste, Christian, Bluschke, Annet
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/PMC9334289/
https://www.ncbi.nlm.nih.gov/pubmed/35902654
http://dx.doi.org/10.1038/s41598-022-17126-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334289/
https://www.ncbi.nlm.nih.gov/pubmed/35902654
http://dx.doi.org/10.1038/s41598-022-17126-x

Ejemplares similares