Who's your data? Primary immune deficiency differential diagnosis prediction via machine learning and data mining of the USIDNET registry.
Clinical immunology (Orlando, Fla.)(2023)
摘要
Clinicians should remember to consider the negative predictive features together with the positives. We are calling this a proof-of-concept study to continue with our explorations. A good performance is encouraging, and feature importance might aid feature selection for future endeavors. In the meantime, we can learn from the rules derived by the model and build a user-friendly decision tree to generate differential diagnoses.
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关键词
Classification,Data mining,Diagnosis prediction,Extreme gradient boosting,Inborn errors of immunity,Machine learning,Primary immune deficiencies,Rare diseases,Registry
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