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README.md
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electronic health records from the N3C and RECOVER programs
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These data represent medical concept probabilities for 300 topics generated via Latent Direchlet Allocation applied
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to 387M electronic health record conditions for 7.9M patients as described in
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[Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs
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electronic health records from the N3C and RECOVER programs
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*NB: small numbers are rounded to 0 in the HuggingFace dataset viewer.*
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These data represent medical concept probabilities for 300 topics generated via Latent Direchlet Allocation applied
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to 387M electronic health record conditions for 7.9M patients as described in
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[Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs
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