LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary Cholangitis

Background: The application of Machine Learning (ML) to genetic individual-level data represents a foreseeable advancement for the field, which is still in its infancy. Here, we aimed to evaluate the feasibility and accuracy of an ML-based model for disease risk prediction applied to Primary Biliary...

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Detalles Bibliográficos
Autores principales: Gerussi, Alessio, Verda, Damiano, Cappadona, Claudio, Cristoferi, Laura, Bernasconi, Davide Paolo, Bottaro, Sandro, Carbone, Marco, Muselli, Marco, Invernizzi, Pietro, Asselta, Rosanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604872/
https://www.ncbi.nlm.nih.gov/pubmed/36294727
http://dx.doi.org/10.3390/jpm12101587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604872/
https://www.ncbi.nlm.nih.gov/pubmed/36294727
http://dx.doi.org/10.3390/jpm12101587

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