Asst. Prof. of Biomedical Informatics at Columbia University

Joined March 2011
4 Photos and videos
Adler Perotte retweeted
Out today in @JACCJournals, our ValveNet study shows a ML model can detect mod-severe left sided valve disease from ECG. This model is currently running live in our health system daily. Now let me tell you everything wrong with it! A brief 🧵 bit.ly/3boQBRs
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Adler Perotte retweeted
Come join us at the poster session 7:30-9pm New York Time (EST) at #neurips2021 Poster Session 2, Location A2! nips.cc/virtual/2021/poster/…. Joint work with @han_xintian along with @lycanduo, Thomas Wies, @aperotte, and Rajesh Ranganath!

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Adler Perotte retweeted
Come learn about ML in cardiology at our #AMIA2021 workshop! Discussing work/collabs of @euanashley @StanfordAIMI @David_Ouyang @ColumbiaCardio @ColumbiaDBMI @mattlungrenMD. Will share the best resources we've found to get you started. Sold out but show up and we'll make it work!
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Congratulations @AJAveritt!!
Very proud to be chosen for an @AMIAinformatics Doctoral #Dissertation Award! It was the product of hard work with my advisor, @aperotte, and others at @ColumbiaDBMI. @drgriffis and I will share our work at #AMIA2021 - get vaxxed so we can do it in person! bit.ly/2UwR4Zn
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Welcome Gamze!!
I am super excited to announce that I'll be a core member at @nygenome and an assistant professor at @ColumbiaDBMI starting January 2022! I cannot wait to join these two amazing communities and work alongside with the scientists that I have looked up to throughout my training...
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Adler Perotte retweeted
In our latest News and Views: @nicktatonetti and @noemieelhadad discuss new data on the use of fine-scale genetic ancestry as a potential new tool for #precisionmedicine nature.com/articles/s41591-0…

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Adler Perotte retweeted
Congratulations to 2021 PhD graduate Tian Kang, who led the study "A neuro-symbolic method for understanding free-text medical evidence” recently published by #JAMIA. @AMIAinformatics @nychunhua @aperotte ➡️ academic.oup.com/jamia/advan…
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A true team effort - very proud of our work predicting complications of COVID in hospitalized patients. Thanks to our clinical colleagues. Great job Victor and @sabhave, in particular! bit.ly/3qYy1Bu

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Adler Perotte retweeted
We looked at ECG abnormalities of #COVID19 patients, out in @JAHA_AHA. Particularly alarming was afib/flutter pts had 59% mortality vs 21% in those without (HR 2.1 in Cox model). Many thanks to @ElaineWanMD, @NirUrielMD, and @ColumbiaCardio team. bit.ly/3hpBd5X
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A little casual causal philosophizing for your upcoming holiday celebration. Thanks @PAsclepius and Glen Colopy for the opportunity! Based on the great work of @AJAveritt. youtu.be/DOf2lVHzZS4
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Adler Perotte retweeted
I'm honored that @aperotte's and my poster -- #NORAModel -- was named best contribution for #MethodsResearch at #OHDSI2020.🥲There were so many wonderful presentations this year! If you're interested in learning more about this #Bayesian #machinelearning model, DM me!
7 Dec 2020
The 2020 Best Contributor for #MethodsResearch is @AJAveritt (a 2019 winner as well 👏). Her work is "Noisy-Or Risk Allocation: A Probabilistic Model for Attributable Risk Estimation" It was also presented at a recent community call: ohdsi.org/2020-global-sympos… #JoinTheJourney
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Adler Perotte retweeted
Now, what if the confounders were specified as a function of interventions of interest: h(T)? Like population structure in a GWAS problem? We call this problem Estimation with Functional Confounders (EFC): nips.cc/virtual/2020/public/… Work with @aperotte and Rajesh Ranganath.
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Adler Perotte retweeted
A great reason to apply for a postgrad at DBMI - our faculty! 👀 the video below & apply (gsas.cuimc.columbia.edu/appl…) by the Dec. 1 deadline! @noemieelhadad @nicktatonetti @aperotte @nychunhua @SarahRossetti47 @JAMIAEditor_Sue @PracticalHIT @ciminoj ➡️ youtu.be/CtB2un1rf4I
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Adler Perotte retweeted
My paper got an #honorablemention in the #AMIA2020 Year in Review! It uses #epidemiology #informatics #EHRs to study the #opioid crisis. Read it here 👉 bit.ly/3nvgoaQ @BenSlovis @aperotte
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Adler Perotte retweeted
Attributable risks (ARs) support inference of whether an outcome is caused by an exposure. At #OHDSI2020, I will present my #NORAModel- a #Bayesian method of AR estimation that rectifies evidence at the population & individual-level. DM me! #CausalTwitter youtu.be/_FZWDbiNi4I
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Our paper on causal inference explores the use of GANs for finding comparable cohorts. Congrats @AJAveritt, great work!
🚨New paper alert. #TheCounterfactualChiGAN, is a #deeplearning method that supports #causalinference by finding comparable cohorts in observational data. Read about it here 👇bit.ly/2QPpX6l
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Adler Perotte retweeted
In our @MayoProceedings paper on pts admitted with #COVID19, we discuss findings helpful for early triage to floor vs ICU. Takeaway: EKG in ED is important--look for afib/flutter, RV strain, ST segment changes. Big thx to @NirUrielMD and @ColumbiaMed team! mayocl.in/31ZoteT
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Adler Perotte retweeted
I am ready to get to work leading @nychealthy, the finest health department in the country. Public health is a calling I've answered throughout my career—I invite you to read the remarks I shared earlier about my story. Please follow me at @NYCHealthCommr medium.com/@NYCMayorsOffice/…
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Adler Perotte retweeted
To keep up to speed with recent work on abstractive summarization, I wrote a (little) lit review called "Sending out an SOS (Summary of Summaries)". link.medium.com/nyveXXbcG8
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