@irenetrampoline is talking about using Health Knowledge Graphs and how robust they are. Health Knowledge Graphs help connect symptoms to diagnoses. #psb2 @PacSymBiocomppic.twitter.com/UNbVT5OyrQ
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@irenetrampoline's work at #PSB20 is building upon their prior paper published in Scientific Reports on Learning Health Knowledge Graphs from Electronic Health Record data. #AIhttps://www.nature.com/articles/s41598-017-05778-z …
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I love
@irenetrampoline’s point: it is so important to evaluate the robustness of our prior models. We need this for#AI in medicine!#psb20@PacSymBiocomppic.twitter.com/G2dqZAkBYB
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They find that their health knowledge graphs are robust. You can read the full detail in
@irenetrampoline et al’s paper: https://psb.stanford.edu/psb-online/proceedings/psb20/Chen_I.pdf …#psb20@PacSymBiocomppic.twitter.com/W6JBq0Nfny
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