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

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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Bibliographic Details
Main Authors: Alessio Gerussi, Damiano Verda, Claudio Cappadona, Laura Cristoferi, Davide Paolo Bernasconi, Sandro Bottaro, Marco Carbone, Marco Muselli, Pietro Invernizzi, Rosanna Asselta, on behalf of The Italian PBC Genetics Study Group
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Personalized Medicine
Subjects:
precision medicine
explainable artificial intelligence
primary biliary cholangitis
liver
autoimmunity
risk stratification
Online Access:https://www.mdpi.com/2075-4426/12/10/1587

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