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@@ -17,7 +17,7 @@ The synthetic data used for training is uniformly sampled random data with no in
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  ### Model Description
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  - **Developed by:** Shah lab @ Stanford University
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- - **Funded by:** Stanford Healthcare
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  - **Shared by:** Shah lab @ Stanford University
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  - **Model type:** CLMBR [(Steinberg et al. 2021)](https://www.sciencedirect.com/science/article/pii/S1532046420302653)
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  - **Language(s) (NLP):** Electronic health record codes
 
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  ### Model Description
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  - **Developed by:** Shah lab @ Stanford University
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+ - **Funded by:** This work was supported in part by the Mark and Debra Leslie Endowment for AI in Healthcare, the Clinical Excellence Research Center at Stanford Medicine, and Technology and Digital Solutions at Stanford Healthcare. MW is supported by an NSF Graduate Research Fellowship. JF was supported in part by a Stanford AIMI-HAI Partnership Grant.
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  - **Shared by:** Shah lab @ Stanford University
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  - **Model type:** CLMBR [(Steinberg et al. 2021)](https://www.sciencedirect.com/science/article/pii/S1532046420302653)
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  - **Language(s) (NLP):** Electronic health record codes