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Excited to see this go public Hope our curation and perspective helps others navigate this rich and rapidly evolving fieldhttps://twitter.com/segal_eran/status/1217530912407158785 …
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AOP
#ResearchHighlight: Electronic health records to predict gestational#diabetes mellitus (£) https://go.nature.com/2GDa2CU pic.twitter.com/ZnQRz5NpJY
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See this concise and clear recent paper for using DCA:https://diagnprognres.biomedcentral.com/articles/10.1186/s41512-019-0064-7 …
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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)https://twitter.com/ESteyerberg/status/1222897271194320896 …
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אנחנו מזמינים אתכם להשתתף בפרויקט 10K שלנו המטרה: לפתח שיטות שיאפשרו לחזות מחלות שנים לפני שהן פורצות הנה סרטון קצר (תודה
@guyzo!), כנסו שתפו: https://www.facebook.com/guyzo/videos/10158149493146349/ … הרשמו כאן: https://www.project10k.org.il/ pic.twitter.com/w9mnu09vTN
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Interesting review of real-world ML applications for healthcare using EHR datahttps://twitter.com/MarkSendak/status/1221993047610863617 …
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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
@NatureMedicine. https://go.nature.com/2tf3h7v pic.twitter.com/knHqbMJdD0
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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 Clinicshttps://twitter.com/segal_eran/status/1216972218388942848 …
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Superb work by the people at
@suinleelab 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: https://www.nature.com/articles/s41591-019-0724-8 … https://twitter.com/EricTopol/status/1218635928589045760 …pic.twitter.com/5PlfK9tIPs
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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
@NatureMedicine. https://go.nature.com/2RqOUFb pic.twitter.com/r6qb5kV1CO
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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
@NatureMedicine. https://go.nature.com/2tf3h7v pic.twitter.com/eHvlxDOcj9
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Leveraging nationwide electronic
#health records from over 500k pregnancies in Israel,@segal_eran & colleagues develop a#machinelearning approach able to predict gestational#diabetes with high accuracy at early stages of#pregnancy https://go.nature.com/2R1luy4#BigData#preventionpic.twitter.com/CJuuYbWKh4
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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.
@segal_eran@smadarshilo@H_Rossman@NatureMedicinehttps://www.nature.com/articles/s41591-019-0727-5 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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@NatureMedicine Review
Axes of a revolution: challenges and promises of big data in healthcare by @smadarshilo@H_Rossman@segal_eran@WeizmannScience
https://www.nature.com/articles/s41591-019-0727-5 …
@secardiologia@domingomarzalpic.twitter.com/OzdZ6pJnpU
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Wow! This looks like a gemhttps://twitter.com/alistairewj/status/1217094235947552770 …
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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:https://twitter.com/segal_eran/status/1216972218388942848 …
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Our new study
@NatureMedicine uses data from >500,000 pregnancies to derive an algorithm for predicting gestational diabetes (GDM) We achieve accurate predictions even at pregnancy initiation https://www.nature.com/articles/s41591-019-0724-8 …pic.twitter.com/tpzrJaXYWI
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Prediction of gestational
#diabetes based on nationwide electronic health records via@NatureMedicinehttps://www.nature.com/articles/s41591-019-0724-8 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Today was a big day for
#bigdata in#healthcare, w/ a new, dedicated@NatureMedicine issue that included this very thoughtful review (that I got to review) by@smadarshilo@H_Rossman@segal_eran@WeizmannScience https://www.nature.com/articles/s41591-019-0727-5 … and several other articlespic.twitter.com/HtmobOtIyK
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