OHDSI

@OHDSI

Observational Health Data Sciences and Informatics (OHDSI)

Vrijeme pridruživanja: veljača 2014.

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  1. Prikvačeni tweet
    2. sij

    Welcome to a new year (and decade) of opportunities to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. Get to know and in 2020 and beyond!

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  2. prije 7 sati

    What happens when you combine invested stakeholders w/ high-level analytic tools/practices? See the OHDSI/ Barcelona on , and learn how this ‘disruptive’ model of research could impact future guidelines.

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  3. prije 9 sati

    Today’s research comes from Matthew Spotnitz: "The Association Between Image Guided Endoscopic Sinus Surgery and Postoperative Revision Incidence: Real World Evidence from Columbia University Medical Center.” ➡️

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  4. prije 13 sati

    Patrick Ryan discussed the impact of the study-a-thon after spending a week on the world’s largest network studies on . It highlights another reason why is critical for generation.

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  5. prije 13 sati

    What happens when you combine invested stakeholders w/ high-level analytic tools/practices? See the 2020 Barcelona on , and learn how this ‘disruptive’ model of research could impact future RA guidelines.

    Poništi
  6. prije 14 sati

    Today’s research comes from Matthew Spotnitz: "The Association Between Image Guided Endoscopic Sinus Surgery and Postoperative Revision Incidence: Real World Evidence from Columbia University Medical Center.” ➡️

    Poništi
  7. proslijedio/la je Tweet
    prije 16 sati

    🚨 DEADLINE EXTENSION 🚨 Applications for our Summer Fellowship program have been moved to 2/14! This is a great opportunity for rising NYC HS seniors & undergrads to get an immersive experience in biomedical informatics! More info/application link ⬇️

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  8. prije 16 sati

    Thanks to Anna Ostropolets for the talk on her Concept Prevalence Study during yesterday’s call. This is an opportunity for the OHDSI community to join in a full network study. Here is Anna’s forum post on the study (w/ GitHub links).

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  9. 4. velj

    Our latest was led by Xinzhuo “Zoey” Jiang: "Feature Engineering To Power Machine Learning Phenotype Development.” High-throughput feature engineering approach for phenotyping in using . ➡️

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  10. 4. velj

    Congrats to Matthew Spotnitz for having his IUD study published in The Green Journal! This work was previously highlighted in the .

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  11. 4. velj

    The next OHDSI community call takes place at the top of the hour (12 pm ET). It will feature a presentation by Anna Ostropolets on her ‘Concept Prevalence Study’. We hope you take part and ! 💻 📱 415-655-0001/code 199 982 907

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  12. 4. velj

    Our latest was led by Xinzhuo “Zoey” Jiang: "Feature Engineering To Power Machine Learning Phenotype Development.” High-throughput feature engineering approach for phenotyping in using . ➡️

    Poništi
  13. 3. velj

    A new week of research leads off with work from Clark Evans: "Query for OHDSI” … combinators help create a shared environment that can aid all stakeholders on a research team. ➡️

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  14. 3. velj

    There are plenty of great working group meetings happening this week, and Tuesday’s community call will feature Anna Ostropolets’ presentation on her Concept Prevalence study. Check out the Weekly Digest for all the details and !

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  15. 3. velj

    A new week of research leads off with work from Clark Evans: "Query for OHDSI” … combinators help create a shared environment that can aid all stakeholders on a research team. ➡️

    Poništi
  16. proslijedio/la je Tweet
    1. velj

    The second EHDEN open call for SMEs to receive training and certification is now open! Check it out at and go to for more information and to submit your application.

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  17. 2. velj

    Quality reading to begin your Super Bowl Sunday, published by the Harvard Data Science Review: "How Confident Are We About Observational Findings in Health Care: A Benchmark Study.” Congrats to the authors!

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  18. proslijedio/la je Tweet
    1. velj
    Odgovor korisniku/ci

    congratulations , this is a MUST READ for all those interested in methodological research in pharmaco-epidemiology, and for the whole of the and community

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  19. proslijedio/la je Tweet
    1. velj

    How Confident Are We About Observational Findings in Health Care: A Benchmark Study

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  20. 31. sij

    We conclude an exciting month of work with this from Youjin Park et al: “ICARUS WINGS” … new phenotyping of asthmatics using long-term followed measurement data. ➡️

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  21. 31. sij

    Why ? According to Jon Duke, a co-author of the LEGEND Hypertension study published in last fall, & are critical for generating meaningful . He shared his thoughts on this at the US Symposium.

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