Shreyas Bhave PhD (@sabhave) header
Shreyas Bhave PhD (@sabhave) profile picture

ML Research @ SmarterDx former @ColumbiaDBMI PhD, UC Berkeley EECS

New York, NY
Joined December 2017
Check out our work published in EHJ today! This was a significant part of my dissertation and it was a joy to work with @PierreEliasMD and the rest of the team!
Today in #EHJ, we present the 1st time an AI model has outperformed radiologists in detecting cardiac pathology. ❤️‍🩹 Potential screen for #CHF w/ CXRs 🌁 Trained @ColumbiaMed validated @StanfordAIMI 🩻 Entire dataset (75k CXRs) released @ESC_Journals shorturl.at/cOT16
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Shreyas Bhave PhD retweeted
Can you detect Stage B heart failure from a chest x-ray? Our ML model learns to detect LVH/dilated LV from CXRs done within 1 year of echo. Great work with @sabhave/@aperotte/@NirUrielMD. Currently validating at Stanford thx to @David_Ouyang & @mattlungrenMD! #ACC21
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India is in the throes of a horrendous COVID surge Horrendous They are struggling to get more people vaccinated We are sitting on 35-40 million doses of Astra Zeneca vaccine Americans will never use Can we please give or lend them to India? Like may be now? It'll help. A lot
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And further evidence that dispersed EMR - with no interoperability -- is a liability in a pandemic.. look at what the UK NHS database achieved in a few weeks. We should be ashamed ... teapaw.org/bengoldacre/status/125…
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Make sure you add S104 to your Agenda in the #AMIA2019 app 📱!! I will be speaking tomorrow, Wed 11/20 ~9.30a, about how @ColumbiaDBMI used the #EHR to take a closer look at the urban #OpioidEpidemic. Preview here ➡️ youtube.com/watch?v=yeWflNo-… – at Washington, DC
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"Simple, Distributed, and Accelerated Probabilistic Programming". The #NIPS2018 paper for Edward2. Scaling probabilistic programs to 512 TPUv2 cores and 100+ million parameter models. arxiv.org/abs/1811.02091 github.com/google-research/g…
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Are you interested in #causality or just want to leave #AMIA2018 with a bang? ‼️ Come to S115 in Plaza B on Wed, 11/6 from 1030-1200. I'll be presenting #NORA -- a novel #machinelearning model for #causalinference
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Vodka has been poured. Liberally.
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The disgrace of what has taken place with Brett Kavanaugh’s nomination will not be lost on the American people. We are mobilized from coast to coast.
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1/ A student just asked me why, if the p-value for a study is 0.04, we can't say the study has a 4% chance of being a false positive. First off, we definitely can't, even under idealized conditions - here's a brief thread as to why.
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This vote will allow senators to show once and for all where everyone stands on #NetNeutrality. We hope that we can make this bipartisan & our GOP colleagues will join us in standing up on behalf of average consumers & middle class families. teapaw.org/netflix/status/9938873…
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Same charts, but side by side in a static image for easier comparison. Drug overdoses is the category between suicide and homicide.
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I made this animation to show the avg share of cause of death from @CDCgov vs. avg share of @Google search trends and headlines from @guardian & @nytimes. The data was collected by Owen Shen et al. in a great post: bit.ly/ChartDeath Source code: bit.ly/DataVizCode
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Billions of lab tests are performed in the U.S. each year, and most are not stratified by demographic variables (e.g. race, sex, age). Should they be? John Ioannidis, @chiragjp, and I explore some of the thorny challenges in our new @JAMA_current piece: jamanetwork.com/journals/jam…
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Whoa… 28 million people apply for 90,000 jobs with India's railway company buff.ly/2GFiUtl via @reddit
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The Trump Administration’s new census question about citizenship could lower the response rate, affect accuracy & is a clear attempt to undermine representation in states like CA where the immigrant population is larger than in any other state. mercurynews.com/2018/03/27/2…
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Is the (base)ball juiced? 53eig.ht/2F5D93H
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