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Who’s your data? Primary immune deficiency differential diagnosis prediction via machine learning and data mining of the USIDNET registry

2022-01-27

Abstract excerpt

<title>Abstract</title> <p>INTRODUCTION: There are currently more than 450 primary immune deficiency (PID) diseases, and about 7,000 rare diseases that together afflict around 1 in every 17 humans. Computational aids based on data mining and machine learning might facilitate the diagnostic task by extracting rules from large datasets and making predictions when faced with new problem cases. OBJECTIVE: In a proof-...

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Literature Corpus work
721865f6-3e20-5af2-8f8e-92e746097a9f
DOI
10.21203/rs.3.rs-1211465/v1
Open publication

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Who’s your data? Primary immune deficiency differential diagnosis prediction via machine learning and data mining of the USIDNET registryDOI 10.21203/rs.3.rs-1211465/v1
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