AI RESEARCH
A Multi-Dimensional Clustering Approach for Identifying Inborn Errors of Immunity
arXiv CS.LG
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ArXi:2605.18880v1 Announce Type: new Rare diseases such as inborn errors of immunity (IEI) require early diagnosis to prevent end organ damage and improve quality of life. Hurdles in accessing and curating large scale electronic health record (EHR) data limit routine data driven analyses to remain on the forefront of IEI and other rare disease trends. Development of machine learning (ML) algorithms in IEI for pattern recognition as well as published methodology examining how to systematically process and integrate complex medical data is limited.