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A guide that can be applied to (almost) any field of research and something I wish that I had read two years ago when I was starting grad school! http://joschu.net/blog/opinionated-guide-ml-research.html …
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Done with my PhD qualifying exam! Someday I'll look back at this week fondly, but not anytime soon
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Presenting "cui2vec" https://arxiv.org/abs/1804.01486 today at
@PacSymBiocomp. Work done with@AndrewLBeam and@zakkohane (and many others!) on extracting medical knowledge across multiple massive data sources#PSB20pic.twitter.com/iB6dBw0bFE
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Ben Kompa proslijedio/la je Tweet
New article with
@arjunmanrai &@MarzyehGhassemi where we outline some specific reproducibility challenges for ML in healthcare. Main issues: - Data sharing - Code documentation - Expense of reproduction Read the full article now in@JAMA_current: https://jamanetwork.com/journals/jama/fullarticle/2758612 …pic.twitter.com/0qYV8h3NuU
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On my flight home, I was thinking about what would happen if the
@MBTA included planes in their system. Planes on fire, runaway planes, planes so old that we need a blacksmith to repair them, and so much more
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Not the clearest picture, but getting some final time in on the microscope before my
#pathology exam tomorrowpic.twitter.com/dSquCv1Ywa
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Loved all the science at
#NeurIPS2019 but the Stanley Park may have been the best part!pic.twitter.com/A6QLTVlx6X
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Ben Kompa proslijedio/la je Tweet
What I really like about this talk has been how detailed they are in their presentation of how to pre-process the EHR data to avoid some of the common pitfalls that plague this space (temporal leakage, silver labels, etc.)https://twitter.com/AndrewLBeam/status/1205557851739054080 …
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Excited for the ML4H workshop at NeurIPS today organized by
@AndrewLBeam@Emily_Alsentzer@beaulieujones@IAmSamFin and many others!pic.twitter.com/1kL0h4muPi
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Ben Kompa proslijedio/la je Tweet
Net of the Week: Clinical Concept Embeddings Trained on Massive Sources of Multimodal Medical Data http://wolfr.am/FMkf9eqM . Thank you
@AndrewLBeam, Isaac S. Kohane & collaborators for creating this model http://wolfr.am/FMkl7AMx .#WolframNetRepo#neuralnetwork#ML#AI#WolfLangpic.twitter.com/quLoiWkaE8
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Ben Kompa proslijedio/la je Tweet
Our cui2vec embeddings (https://arxiv.org/abs/1804.01486 ) have been ported to Wolfram's neural network library: https://resources.wolframcloud.com/NeuralNetRepository/resources/Clinical-Concept-Embeddings-Trained-on-Health-Insurance-Claims-Clinical-Narratives-from-Stanford-and-PubMed-Journal-Articles … …
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Ben Kompa proslijedio/la je Tweet
Write up of what @Ben_Kompa and I did in a recent
@kaggle contest: http://beamandrew.github.io/deeplearning/2016/08/20/kaggle-segmentation.html … (yes, it used#deeplearning)Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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