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arXiv Machine Learning By Zilin Jing, Vincent Jeanselme, Yuta Kobayashi, Simon A. Lee, Chao Pang, Aparajita Kashyap, Yanwei Li, Xinzhuo Jiang, Shalmali Joshi

One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models

Read the original on arXiv Machine Learning →

arXiv:2602. 00541v2 Announce Type: replace Abstract: Clinical events captured in Electronic Health Records (EHR) are irregularly sampled and may consist of a mixture of discrete events and numerical measurements, such as laboratory values or treatment dosages.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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