Artuur Leeuwenberg @_tuur_
Assist. prof. @UMCUtrecht : #PredictionModels, #NLProc, and #MachineLearning. Own views. umcutrecht.nl/en/Research/Re… Utrecht, Netherlands Joined September 2016-
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Excited to announce a new PhD opportunity within our team, focusing on validation methods for generative AI and Large Language Models in healthcare. If you're interested or know someone who might be, we encourage you to apply or share this opportunity! careersatumcutrecht.com/vacancies/wete…
NEW PAPER On the critical role and types of validation of large language models (such as ChatGPT) before implementation in healthcare @LancetDigitalH Open access 👉thelancet.com/journals/landi…
very excited to have this pre-print online! some prediction models have good AUC pre- and post-deployment, but are (silently) harming patients when used for treatment decisions I'll present this at @SymposiumML4H Dec 10th and will attend #NeurIPS2023 after
very excited to have this pre-print online! some prediction models have good AUC pre- and post-deployment, but are (silently) harming patients when used for treatment decisions I'll present this at @SymposiumML4H Dec 10th and will attend #NeurIPS2023 after https://t.co/T8DNVsQPVp
While NLP is popular for information extraction from clinical notes, not many studies explore the impact of NLP on downstream epidemiological studies. Our new paper compares NLP-based associations with those from manual labels.
While NLP is popular for information extraction from clinical notes, not many studies explore the impact of NLP on downstream epidemiological studies. Our new paper compares NLP-based associations with those from manual labels.
Joint work with @_tuur_ @MaartenvSmeden @ewoudschuit @atulbutte . Special thanks to @Kevin_Lybarger and n2c2 shared task organizers for sharing the dataset!
Want to learn how observational data can yield insights into causal effects? How to specify a target trial & how to use prediction models for causal insight? Check out our (@WvanAmsterdam & BP de Vries) new summer school course, August 5 -9 in Utrecht: utrechtsummerschool.nl/courses/health…
We are hiring! We offer an exciting position as PhD Candidate who will focus on improving methods for the validation, updating and implementation of (artificial intelligence based) prediction models to support clinical decision-making. careersatumcutrecht.com/vacancies/wete…
🔥The ML Reproducibility Challenge is back! The 6th edition now expands to papers from 11 ML conferences: NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ECCV, AAAI, IJCAI-ECAI, ACM FAccT & SIGIR. ML journals included this year: JMLR, TACL, & TMLR. Read more: paperswithcode.com/rc2022
Are you / do you know someone interested in: literature reviews, epidemiology, methodology, natural language processing? Check out this PhD position about methodological challenges in (semi-)automatization of the medical literature review process: careersatumcutrecht.com/vacancies/wete…
What about highly correlated predictors everyone is always worried about? Not a big issue if you are looking for the best performing model, maybe an issue if you take selection of variables very seriously (which you probably should not anyway) New OA pub 👉diagnprognres.biomedcentral.com/articles/10.11…
Our review on guidance documents for AI-based prediction in healthcare is out at: nature.com/articles/s4174… With Anne de Hond, Lotty Hooft,@ilse_kant,@SWJNijman,@hinevanos,Jiska Aardoom,@TPA_Debray,@ewoudschuit,@MaartenvSmeden,Johannes Reitsma,@ESteyerberg,@NHChavannes,@CarlMoons
European Masters Programme Language and Communication Technologies: 📅Applications for intake 2022 are now open! All correct, complete and timely applications will also be considered for the Erasmus Mundus scholarship. More information here: lct-master.org
📢I am hiring Really excited to share our new fully funded PhD vacancy. Come work with us on some of the most challenging methods and prognostic modeling questions. epidemiologie.nl/vacatures/vaca…
Led by Prof. @tobiaskurth of @ChariteBerlin, @FrontiersIn #Epidemiology will publish high-quality articles on epidemiological research methods to help improve health states on a regional, national and global level. Learn more ⬇
This looks an excellent series of 3 talks on 27th Oct: "Causal Prediction Modelling" - register free eventbrite.co.uk/e/the-graham-d… @EventbriteUK Prof Niels Peek & Dr Lijing Lin & Mr David Jenkins (Uni Manchester), Dr Nan van Geloven (Leiden Uni), and Dr Pantelis Samartsidis (Uni Cam)
Voor geïnteresseerden in diagnostische e-health en AI is er een zeer leuke PhD positie vrijgekomen bij ons in het methoden team! bit.ly/3FAnzIS
The Bias-Variance Trade-Off & "DOUBLE DESCENT" 🧵 Remember the bias-variance trade-off? It says that models perform well for an "intermediate level of flexibility". You've seen the picture of the U-shape test error curve. We try to hit the "sweet spot" of flexibility. 1/🧵
@VMTdeJong proposes new methods for developing generalizable prediction models from pooled studies and large clustered data sets . Corresponding software available from CRAN - CRAN.R-project.org/package=metami… onlinelibrary.wiley.com/doi/10.1002/si…
deep learning activation functions made cool and cute reddit.com/r/learnmachine…

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Diwakar Mahajan @diwakarmahajan
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yanjungao @Serena_pancakes
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Division of Clinical ... @dcihmfp
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Frank Harrell @f2harrell
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(((ل()(ل() 'yoav)))... @yoavgo
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Ewout Steyerberg @ESteyerberg
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Sam Finlayson @IAmSamFin
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Christoph Molnar 🦋... @ChristophMolnar
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15K Followers 38 Following The AllenNLP team works on language-centered AI that equitably serves humanity. We deliver high-impact research and open-source tools to accelerate progress.
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