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arXiv · 2211.08082

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge

Kyunghoon Hur·Jungwoo Oh·Junu Kim·Jiyoun Kim·Min Jae Lee·Eunbyeol Cho·Seong-Eun Moon·Young-Hak Kim·Edward Choi
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Abstract

Despite the abundance of Electronic Healthcare Records (EHR), its heterogeneity restricts the utilization of medical data in building predictive models. To address this challenge, we propose Universal Healthcare Predictive Framework (UniHPF), which requires no medical domain knowledge and minimal pre-processing for multiple prediction tasks. Experimental results demonstrate that UniHPF is capable of building large-scale EHR models that can process any form of medical data from distinct EHR systems. We believe that our findings can provide helpful insights for further research on the multi-source learning of EHRs.

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Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Edward Choi. 2024-09-01. UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge. https://arxiv.org/abs/2211.08082

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