#N2C2 - Twitter Hashtag

over 3 years ago

Our publication in @JAMIA_Journal on extracting social determinants of health (#SDOH) from multi-site clinical notes based on the shared task competition work #n2c2 using 2-stage DNNs. @ChildrensPhila @CHOPDBHi @CHOP_Research @UPennDBEI https://t.co/xM6NKUfWUn

richtsui's tweet photo. Our publication in @JAMIA_Journal on extracting social determinants of health (#SDOH) from multi-site clinical notes based on the shared task competition work #n2c2 using 2-stage DNNs. @ChildrensPhila @CHOPDBHi @CHOP_Research @UPennDBEI https://t.co/xM6NKUfWUn https://t.co/gaoUlK0MXR

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Fuchiang (Rich) Tsui @richtsui

over 3 years ago

So delighted to present our work and learned our team @TsuiLab ranked 2nd for #n2c2 #NLP challenge at #AMIA2022 on the learning transfer task for Social Determinants of Health, statistically indistinguishable from the winning team from Microsoft-Nuance. @ChildrensPhila @CHOPDBHi

richtsui's tweet photo. So delighted to present our work and learned our team @TsuiLab ranked 2nd for #n2c2 #NLP challenge at #AMIA2022 on the learning transfer task for Social Determinants of Health, statistically indistinguishable from the winning team from Microsoft-Nuance. @ChildrensPhila @CHOPDBHi https://t.co/vRDkw2PjNU

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Dr. Asma Ben Abacha

@AsmaBenAbacha

almost 4 years ago

#AMIA2022 #n2c2 It was great presenting our Microsoft-Nuance team's work on "Social Determinants of Health" and our models that achieved the best results in the SDoH challenge -- For more info about our work, check out our RG project: https://t.co/QS6r6XAgaY

AsmaBenAbacha's tweet photo. #AMIA2022 #n2c2 It was great presenting our Microsoft-Nuance team's work on "Social Determinants of Health" and our models that achieved the best results in the SDoH challenge -- For more info about our work, check out our RG project: https://t.co/QS6r6XAgaY https://t.co/T5qWdabPsS

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Sophia Ananiadou @SAnaniadou

almost 4 years ago

@JakeVasilakes for @nactem_unimcr and AIRC Japan invited to present our joint work for Contextualised Medication Event Extraction #AMIA2022, #n2c2 @idsai_uom

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Ozlem Uzuner @ozlem_uzuner_gm

almost 4 years ago

#AMIA2022 starts earlier for some! Many thanks to this crew for another excellent pre-AMIA #n2c2 workshop!

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KEEPHAResearch @keepha_research

almost 4 years ago

Our team was invited to give a plenary talk on our submitted systems at #n2c2 2022 🥳 #AMIA2022

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yanjungao @Serena_pancakes

over 4 years ago

Physicians are trained to do diagnostic reasoning. Our new suite of clinical NLP tasks for clinical diagnostic reasoning includes section segmentation, assessment&plan reasoning (#n2c2 track 3), and problem summarization.

UW-Madison Critical Care Medicine Data Science Lab @UW_ICU_DataSci

over 4 years ago

Excited to announce that our paper is accepted to #LREC2022! We introduce the first annotation framework and suite of #NLP tasks to model clinical diagnostic reasoning! We also describe the annotation and task for our #N2C2 track. Preprint available: https://t.co/YB8ctrDNe8

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UW-Madison Critical Care Medicine Data Science Lab @UW_ICU_DataSci

over 4 years ago

Excited to announce that our paper is accepted to #LREC2022! We introduce the first annotation framework and suite of #NLP tasks to model clinical diagnostic reasoning! We also describe the annotation and task for our #N2C2 track. Preprint available: https://t.co/YB8ctrDNe8

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DBMI at Harvard Med

@HarvardDBMI

over 4 years ago

The 2022 #n2c2 #ClinicalNLP challenge is underway! Join Track 1 to develop models to recognize medication mentions and changes in clinical notes. #CMED Co-organizers: @IBMResearch @GeorgeMasonU @ozlem_uzuner_gm from our #i2b2 early days is still at it! https://t.co/3kr8m19VOb

HarvardDBMI's tweet photo. The 2022 #n2c2 #ClinicalNLP challenge is underway! Join Track 1 to develop models to recognize medication mentions and changes in clinical notes. #CMED
Co-organizers: @IBMResearch @GeorgeMasonU
@ozlem_uzuner_gm from our #i2b2 early days is still at it!
https://t.co/3kr8m19VOb https://t.co/NMMHjD6WxJ

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yanjungao @Serena_pancakes

over 4 years ago

We are hosting track 3 on National NLP Clinical Challenge #n2c2! Our track focuses on Clinical Reasoning and EHR Understanding, derived from physicians' decision-making process🩺. Call for participation! #clinicalnlp #NLProc

UW-Madison Critical Care Medicine Data Science Lab @UW_ICU_DataSci

over 4 years ago

Our lab is hosting the 2022 #N2C2 Track 3: Progress Note Understanding: Assessment and Plan Reasoning. If you are interested in NLU&Reasoning in the clinical/medical domain. Visit https://t.co/lgb6h1J8H5, More details at https://t.co/pamLJzSAZf

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UW-Madison Critical Care Medicine Data Science Lab @UW_ICU_DataSci

over 4 years ago

Our lab is hosting the 2022 #N2C2 Track 3: Progress Note Understanding: Assessment and Plan Reasoning. If you are interested in NLU&Reasoning in the clinical/medical domain. Visit https://t.co/lgb6h1J8H5, More details at https://t.co/pamLJzSAZf

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karin verspoor (professor) @karinv

over 5 years ago

Pleased to finally share work on clinical concept normalization developed for the #n2c2 #clinicalNLP challenges in 2019 on the MCN corpus. Work by students Yuxia Wang and @brianwithaneye co-supervised by me and @eltimster. https://t.co/I2udMlgmVp

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H1 Connect @H1Connect

over 6 years ago

How deep is deep learning? Stefan Schulz @UniGraz recommends this article by the winners of the 2018 #n2c2 Shared Task on cohort selection, examining the limitations of #deeplearning in clinical text #classification https://t.co/nJt9ttugDA

H1Connect's tweet photo. How deep is deep learning? Stefan Schulz @UniGraz recommends this article by the winners of the 2018 #n2c2 Shared Task on cohort selection, examining the limitations of #deeplearning in clinical text #classification https://t.co/nJt9ttugDA https://t.co/kRaXijgg97

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Nikhil Siddhartha @nikhilsid

over 6 years ago

Had a great experience working on NLP problems in clinical domain. Represented @sbucompsc at National NLP Clinical Challenges 2019. Our team ranked 9th overall. #N2C2 #Mayoclinic #sbu #NLP #DeepLearning

nikhilsid's tweet photo. Had a great experience working on NLP problems in clinical domain. Represented @sbucompsc at National NLP Clinical Challenges 2019. Our team ranked 9th overall. #N2C2 #Mayoclinic #sbu #NLP #DeepLearning https://t.co/kjbYLpQ1SG

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Yanshan Wang, PhD, FAMIA @yanshan_wang

over 6 years ago

Everyone is using #BERT and it is a powerful baseline for clinical semantic textual similarly task #clinicalSTS #STS #amia2019 #n2c2

yanshan_wang's tweet photo. Everyone is using #BERT and it is a powerful baseline for clinical semantic textual similarly task #clinicalSTS #STS #amia2019 #n2c2 https://t.co/Q5N00hDNlU

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Yanshan Wang, PhD, FAMIA @yanshan_wang

over 6 years ago

#AMIA2019 #MayoDHS #N2C2

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Ozlem Uzuner @ozlem_uzuner_gm

over 6 years ago

AMIA started early for some! #n2c2 in Jefferson East. Going on now. #amia2019

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Michel Oleynik @michelole

almost 7 years ago

the 2018 #n2c2 track 1 overview paper has been published! "Cohort selection for clinical trials: n2c2 2018 shared task track 1" https://t.co/FUmDSbWZu1

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Nikola Milosevic, PhD @text_miner

almost 7 years ago

A new paper released on #ArXiv, our work on N2C2 shared task: https://t.co/pGC7kCZJYv #NLProc #NLP #MachineLearning #DeepLearning #ADR #N2C2 #AdverseDrugEvents #Clinical

text_miner's tweet photo. A new paper released on #ArXiv, our work on N2C2 shared task:
https://t.co/pGC7kCZJYv

#NLProc #NLP #MachineLearning #DeepLearning #ADR #N2C2 #AdverseDrugEvents #Clinical https://t.co/GCd37cxamk

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Michel Oleynik @michelole

almost 7 years ago

4/ Luckily, @ozlem_uzuner_gm and her colleagues from the @HarvardDBMI organized a challenge with real anonymized data so that computer scientists (like me!) could help. 💪 #n2c2

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