Prediction of functional outcomes of schizophrenia with genetic biomarkers using a bagging ensemble machine learning method with feature selection

Genetic variants such as single nucleotide polymorphisms (SNPs) have been suggested as potential molecular biomarkers to predict the functional outcome of psychiatric disorders. To assess the schizophrenia’ functional outcomes such as Quality of Life Scale (QLS) and the Global Assessment of Function...

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Detalles Bibliográficos
Autores principales: Lin, Eugene, Lin, Chieh-Hsin, Lane, Hsien-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119477/
https://www.ncbi.nlm.nih.gov/pubmed/33986383
http://dx.doi.org/10.1038/s41598-021-89540-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119477/
https://www.ncbi.nlm.nih.gov/pubmed/33986383
http://dx.doi.org/10.1038/s41598-021-89540-6

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