Xavier Tannier
@xtannierProfessor CS at @Sorbonne_Univ_. Research at LIMICS. Teaches at @PolytechSorbonn
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Our paper on extracting both explicit and implicit cause-effect relationships in patient-reported diabetes tweets using deep learning has been published. Check it out 👇👇
New JMIR MedInform: Extraction of Explicit and Implicit Cause-Effect Relationships in #patient-Reported Diabetes-Related Tweets From 2017 to 2021: Deep Learning Approach dlvr.it/SV8jYP
BLOOM is here. The largest open-access multilingual language model ever. Read more about it or get it at bigscience.huggingface.co/blog/bloom hf.co/bigscience/blo…
"Multilabel classification of medical concepts for patient clinical profile identification", our new paper in journal of Artificial Intelligence in Medicine, Christel Gérardin et al. #NLProc sciencedirect.com/science/articl…
"Privacy-Preserving Mimic Models for clinical Named Entity Recognition in French" A new @J_Biomed_Info paper with N. Bannour, P. Wajsbürt, @bastien_rance & A. Névéol @AlmostAisling authors.elsevier.com/c/1ezcb5SMDQmq… #NLProc
Plus qu'une semaine avant la Journée Portes Ouvertes de @PolytechSorbonn le 12 février. Toutes les informations sur polytech.sorbonne-universite.fr
Yesterday I successfully defended my thesis after three exciting and intense years🥳🥳 I would like to particularly thank my thesis director @GFaghe for his constant support, the freedom he gave me and outstanding supervision. What a journey!!
Allow me to introduce Dr Ahne @Adrahne, former PhD student, now doctor in digital epidemiology, who successfully defended his PhD thesis on the use of #AI methods for the analysis of online data. Thanks to @Cesp_Inserm @EtudeE4N @Epiconcept @LIH_Luxembourg @UnivParisSaclay 🙏
New paper alert!! 🥳🥳 We proposed a methodology and developed a prototype for a clinical decision support systems to explore unstructured clinical text data and target topics of interest for health professionals without programming skills.
New in JMIR: Improving #Diabetes-Related Bio##Medical Literature Exploration in the Clinical Decision-making Process via Interactive Classification and Topic Discovery: Methodology Development #Study dlvr.it/SHLgZW
Bonjour, J'ai le plaisir de vous annoncer que toute l'équipe de journalistes qui a récemment quitté Science & Vie, et dont je fais partie, rend public aujourd'hui même la création d'un nouveau magazine scientifique. Il s'appelle Epsiloon (prononcer epsilon).
Un projet géant pour faire parler une intelligence artificielle, et faire mieux que Google ift.tt/3nK1izC
Imagine a search engine for news backed by structured data for events. Search and filter for event types and dimensions of newsworthiness. It exists here: asrael.eurecom.fr/search-engine/… via @rtroncy
The LHC involves 10.000 researchers from 100 countries In many scientific fields, worldwide research collaborations create tools useful for the entire research community: LHC, ITER, ISS.. Maybe it's time to build similar large, diverse, open research collab in AI/NLP as well 👇
📄[DigitalEpidemiology] Do you want to find out how #socialmedia (#Twitter) can be leveraged to better understand the key concerns of people with #diabetes? Here is how, based on our new publication in #BMJOpenDiabetesResearchAndCare @bmj_latest drc.bmj.com/content/8/1/e0… [thread]👇
![GFaghe's tweet image. 📄[DigitalEpidemiology] Do you want to find out how #socialmedia (#Twitter) can be leveraged to better understand the key concerns of people with #diabetes? Here is how, based on our new publication in #BMJOpenDiabetesResearchAndCare @bmj_latest drc.bmj.com/content/8/1/e0… [thread]👇](https://pbs.twimg.com/media/EZvK5A0XkAgQAbI.jpg)
🔥🥳Excited to share my 1st paper : Insulin pricing and other major diabetes-related concerns in the USA: a study of 46 407 tweets between 2017 and 2019 published in @bmj_latest @BMJ_Open Check it out ➡️ drc.bmj.com/cgi/content/fu…
Interesting… some French academics recently started adding the pseudonym “Camille Noûs” as a co-author to their papers, in very different fields. ⏬
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