KI Research Institute

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KI Research Institute

KI Research Institute

@ResearchKi

KI is an Israeli research institute for applied research in computational health. We are an independent, self-funded, non-profit organization.

Katılım Mayıs 2020
0 Takip Edilen319 Takipçiler
KI Research Institute
KI Research Institute@ResearchKi·
Unveiling KI Research Institute's new brand identity and website that reflects our mission to transform complex #medical datasets into valuable global #healthcare insights. See how we’re creating ripples of impact across healthcare systems. kinstitute.org.il
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KI Research Institute
KI Research Institute@ResearchKi·
How well can we identify medical terms in hospital discharge notes, and link them to standard medical codes? Armed with our healthy skepticism about the ultimate supremacy of LLMs, we set off to find out in DrivenData's SNOMED-CT Entity Linking Challenge🏆 drivendata.co/blog/snomed-ct…
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Tamar Zelovich
Tamar Zelovich@TZelovich·
I'm excited to share my recent study with Chen Yanover and Vered Klaitman with perfect timing for Endometriosis Awareness Month. In this work, we explore endometriosis and comorbidities, providing additional evidence that endometriosis is a multi-system disease.
OHDSI@OHDSI

Comorbidity Co-occurrence in Women with Endometriosis: A Retrospective Matched Cohort Study #OHDSISocialShowcase Lead: Tamar Zelovich Team: Vered Klaitman-Mayer, @ChenYanover Learn more: ohdsi.org/2023showcase-3… #OHDSISocialShowcase

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Chen Yanover
Chen Yanover@ChenYanover·
Just published: an @OHDSI network study that investigates the effect of feature selection on models’ external performance, across 4 countries: 🇺🇸US, 🇬🇧UK, 🇫🇮Finland, 🇰🇷Korea Led by @naderalvojoud, @tmboussard; w/ @TalElHay, @JGT_bio_eng, Byungjin Choi, Thomas Falconer, et al.
Tina Hernandez-Boussard@tmboussard

Our latest study showcases the power of international collaboration, developing predictive models for post-surgery outcomes with unparalleled generalizability using the OHDSI network academic.oup.com/jamia/article-… @ccurtinprs

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Chen Yanover
Chen Yanover@ChenYanover·
An exciting project in the making: Say you trained a classifier on your data, obtaining good performance. Next, you want to deploy it to a different environment but all you know – or can obtain – are limited statistical characteristics of the external data.
OHDSI@OHDSI

Estimating model performance on external data sources from their summary statistics: a real-world benchmark #OHDSISocialShowcase Lead: Tal El-Hay Co-Authors: Jenna M Reps, Chen Yanover Learn more: ohdsi.org/2023showcase-1… #JoinTheJourney

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KI Research Institute
KI Research Institute@ResearchKi·
Facilitating an improved early childhood developmental surveillance by introducing a new method for quantifying developmental milestone attainment, the Developmental Surveillance Score (DSS). publichealth.jmir.org/2023/1/e47315
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Chen Yanover
Chen Yanover@ChenYanover·
An update on our inflammatory bowel disease (#IBD) characterization study, with data on >1 million patients in sixteen #databases from seven countries (USA 🇺🇸 , UK 🇬🇧 , France 🇫🇷 , Germany 🇩🇪 , Japan 🇯🇵 , Korea 🇰🇷 , and Australia 🇦🇺 ).
OHDSI@OHDSI

Characteristics and outcomes of over a million inflammatory bowel disease subjects in seven countries: a multinational cohort study #OHDSISocialShowcase Lead: Chen Yanover Full team available on poster: loom.ly/bnF-MDg #OHDSIEurope2023

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Chen Yanover
Chen Yanover@ChenYanover·
We have launched a multinational #OHDSI study to characterize inflammatory bowel disease (#IBD) cohorts, in order to obtain a unified, global description of disease trajectory in Crohn's disease and ulcerative colitis patients 👇
OHDSI@OHDSI

#OHDSISocialShowcase Characteristics and outcomes of inflammatory bowel disease patients: an open, multinational OHDSI network study Presenter: Chen Yanover (@ChenYanover) This work was presented at #OHDSIEurope2022. #JoinTheJourney

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Nir Kalkstein
Nir Kalkstein@KalksteinNir·
medrxiv.org/content/10.110… הדאטה בייסים הגדולים של תופעות לוואי של תרופות. נוצרים לרוב באופן אוטומטי. הבעיה: המידע לכל תרופה מכיל כמות גדולה של תופעות לוואי ואין זיקוק של תופעות הלוואי החשובות והעיקריות. בעבודה יפה מחדשה ויצירתית של @ChenYanover ויונתן בילו. מ @ResearchKi >>
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KI Research Institute
KI Research Institute@ResearchKi·
As we strive to create impact and advance our findings and the tools we build towards implementation, this is a major developmental milestone achieved by our young institute. The scale is available in 3 languages at: kinstitute.org.il/publications/
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KI Research Institute
KI Research Institute@ResearchKi·
מחר בלילה נציג ב @CHILconference (chilconference.org/index.html) עבודה מתודולוגית שמאפשרת להעריך ביצועים של מודלי חיזוי על מקורות מידע חיצוניים מתוך מידע סטטיסטי מוגבל (למשל, שכיחות או התפלגות של תכונות באוכלוסיה), ללא גישה לנתונים עצמם. הצטרפו אלינו או הציצו במאמר 👇
Chen Yanover@ChenYanover

To hear more, join us (virtually) tomorrow, 2:24 PM EDT, at the Conference on Health, Inference, and Learning (@CHILconference); or see our paper arxiv.org/pdf/2202.13683…

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Keşfet

@IsraelMOH @OHDSI @naderalvojoud @tmboussard @JGT_bio_eng @JAMANetworkOpen @R2d2Mh @H_rossman