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And we’re back to normal pre-Hector weather...feel free to visit anytime!pic.twitter.com/KT21obQpdC
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Live view of me trying to outline the intro for my staple thesis:pic.twitter.com/ysmhH45KHN
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Congrats! Great work and great thread. I look forward to POPCORN and SODA’s follow-up paper...JR MINT? (Would be very refreshing)pic.twitter.com/7JIbZ7JxE1
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I completely agree with everything you said, and am obviously not a dermatologist, but I have to note potential for what SMBC calls an “exigology” (statement explained by its converse): “Everyone freaks out and over-prepares for medical exams, but almost no one ever fails them”pic.twitter.com/kdVdTnQboU
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Trying to engage with this topic on twitter is akin to getting involved in a land war in Asia.pic.twitter.com/m7JhqfVSPB
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I can study one medical fun fact 100 times, diagram it out, turn it into a song, explain it four different ways, etc etc and it still gets cleared 72 hours later. Then I read one weird tidbit about a comic book on Wikipedia and it’s locked in my brain for life!pic.twitter.com/ciasde2gGK
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ML world is inconsistent w.r.t. comparing models in papers Things I see: a) No stats at all (just best performance) b) True cross-validation (refit models each time) c) Train-val to fit, then *freeze model* + do bootstrap CIs *within held out set* (e.g https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/46425.pdf …)pic.twitter.com/7aHYVSO4OR
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I was thinking of Section 7 of the paper which discusses sample-wise non-monotonicity, though admittedly not in a ton of depth https://arxiv.org/pdf/1912.02292.pdf … .pic.twitter.com/L1jh9mUFT8
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However, arguing that an unproven tech will likely *drop costs* requires magical thinking and willful ignorance of history. (Insult to injury is when such pitches unironically lead off with a graph like below, as if it isn’t evidence *against* new tech til proven otherwise) 3/3pic.twitter.com/WnuqFLPNui
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IDK about this, but I AM certain that this reference, originally from philosophy, is timely in both fields: http://www2.csudh.edu/ccauthen/576f12/frankfurt__harry_-_on_bullshit.pdf …pic.twitter.com/KLdsU1gxdi
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The only problem with this is that Hardy was completely wrong — his work and that of other pure mathematicians have proved extremely useful in practical applications! From https://www.msri.org/system/cms/files/132/files/original/Lander-Case_for_Research.pdf … Video here (and an enjoyable watch): https://vimeo.com/133400574 pic.twitter.com/lMJJBHdd2m
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Submit your best work on integrating ML into healthcare! 500 word abstracts, can be new work or recently published. Fun conversations in a cool setting. "We'll search for tomorrow on every shore And try, oh Lord we'll try, to carry on" https://www.youtube.com/watch?v=e5MAg_yWsq8 …https://twitter.com/HarvardDBMI/status/1208049557709312001 …
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Pete looking good today as he recounts stories from the leading edge of ML+Medicine. Fun stories about: - Guardian Angel project in 90s, work anticipating most of today’s big tech bets (and failures) in med - Work on bioterrorism surveillance presented in DC on Sept *10*, 2001 https://twitter.com/mandl/status/1201522207215771649 …pic.twitter.com/7whWmerkZW
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At http://robust.ai , he/colleagues appear to be raising oodles of $$ on assertion that they’re doing just this. I just wish there were some way to assess the claims, read any tangible details about approach, etc. Else, just sounds (ironically) like empty hype :(((pic.twitter.com/VI7tO3ITId
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