Hagai Rossman

@H_Rossman

PhD student at Weizmann Institute of Science, Segal Lab. Digging through health data.

Vrijeme pridruživanja: kolovoz 2016.

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  1. Prikvačeni tweet
    15. sij

    Excited to see this go public Hope our curation and perspective helps others navigate this rich and rapidly evolving field

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  2. proslijedio/la je Tweet

    AOP : Electronic health records to predict gestational mellitus (£)

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  3. 31. sij

    See this concise and clear recent paper for using DCA:

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  4. 31. sij

    Interesting thread about prediction model evaluation. From my short experience, I feel that the ROC curve is overused (and contains little extra and usable info), And utility analysis tools such as Decision curves are underused (and do contain extra and usable info)

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  5. proslijedio/la je Tweet
    30. sij

    אנחנו מזמינים אתכם להשתתף בפרויקט 10K שלנו המטרה: לפתח שיטות שיאפשרו לחזות מחלות שנים לפני שהן פורצות הנה סרטון קצר (תודה !), כנסו שתפו: הרשמו כאן:

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  6. 29. sij

    Interesting review of real-world ML applications for healthcare using EHR data

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  7. proslijedio/la je Tweet
    24. sij

    Here's your periodic reminder that basic research is only "useless" until it suddenly becomes the most important thing in the world. 20 years ago, coronavirology was an obscure sub-field the public never heard about. Good thing we funded it anyway.

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    Health data are being generated and collected at an unprecedented scale, but whether big data will truly revolutionize healthcare is still a matter of much debate, according to a Review in .

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    23. sij

    This work is an ideal demonstration of how Machine Learning should be used in Biomedicine. All steps are very well-thought-out. Do disease predictions from EHR, do not search for genes, they are hard to bring to the Clinics

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  10. 20. sij

    Superb work by the people at lab! Had so much impact even before being published here. Heavily used this framework with our recent study on prediction of gestational diabetes from nationwide EHRs:

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  11. proslijedio/la je Tweet

    A new computer algorithm can predict in the early stages of pregnancy, or even before pregnancy has occurred, which women are at a high risk of gestational diabetes, according to a study in .

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  12. proslijedio/la je Tweet

    Health data are being generated and collected at an unprecedented scale, but whether big data will truly revolutionize healthcare is still a matter of much debate, according to a Review in .

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  13. proslijedio/la je Tweet

    Leveraging nationwide electronic records from over 500k pregnancies in Israel, & colleagues develop a approach able to predict gestational with high accuracy at early stages of

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  14. proslijedio/la je Tweet
    15. sij

    Challenges & potential of big data in healthcare. Big data can transform diagnosis, treatment & prognosis processes. However, relevant statistical models are needed to covert this data into insights.

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  15. proslijedio/la je Tweet
    14. sij
    , , i još njih 7
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  16. 14. sij
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    לא מבינה הרבה מן הכתוב להלן אבל פרופ׳ סגל ממכון וייצמן הוא חבר אישי קרוב, והמוח מאחורי פיתוח DayTwo (עם מדען שותף). אז אם אתם בענייני רפואה, תזונה, בריאות ומדע, ממליצה לכם לעקוב אחרי ערן:

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  18. proslijedio/la je Tweet
    14. sij

    Our new study uses data from >500,000 pregnancies to derive an algorithm for predicting gestational diabetes (GDM) We achieve accurate predictions even at pregnancy initiation

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  19. proslijedio/la je Tweet

    Prediction of gestational based on nationwide electronic health records via

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  20. proslijedio/la je Tweet
    14. sij

    Today was a big day for in , w/ a new, dedicated issue that included this very thoughtful review (that I got to review) by and several other articles

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