TY  - JOUR
A1  - Tanski, George
A1  - Bergstedt, Helena
A1  - Bevington, Alexandre
A1  - Bonnaventure, Philip
A1  - Bouchard, Frederic
A1  - Coch, Caroline
A1  - Dumais, Simon
A1  - Evgrafova, Alevtina
A1  - Frauenfeld, Oliver W.
A1  - Frederick, Jennifer
A1  - Fritz, Michael
A1  - Frolov, Denis
A1  - Harder, Silvie
A1  - Hartmeyer, Ingo
A1  - Heslop, Joanne
A1  - Hoegstroem, Elin
A1  - Johansson, Margareta
A1  - Kraev, Gleb
A1  - Kuznetsova, Elena
A1  - Lenz, Josefine
A1  - Lupachev, Alexey
A1  - Magnin, Florence
A1  - Martens, Jannik
A1  - Maslakov, Alexey
A1  - Morgenstern, Anne
A1  - Nieuwendam, Alexandre
A1  - Oliva, Marc
A1  - Radosavljevi, Boris
A1  - Ramage, Justine Lucille
A1  - Schneider, Andrea
A1  - Stanilovskaya, Julia
A1  - Strauss, Jens
A1  - Trochim, Erin
A1  - Vecellio, Daniel J.
A1  - Weber, Samuel
A1  - Lantuit, Hugues
T1  - The Permafrost Young Researchers Network (PYRN) is getting older
BT  - The past, present, and future of our evolving community
JF  - Polar record
N2  - A lasting legacy of the International Polar Year (IPY) 2007–2008 was the promotion of the Permafrost Young Researchers Network (PYRN), initially an IPY outreach and education activity by the International Permafrost Association (IPA). With the momentum of IPY, PYRN developed into a thriving network that still connects young permafrost scientists, engineers, and researchers from other disciplines. This research note summarises (1) PYRN’s development since 2005 and the IPY’s role, (2) the first 2015 PYRN census and survey results, and (3) PYRN’s future plans to improve international and interdisciplinary exchange between young researchers. The review concludes that PYRN is an established network within the polar research community that has continually developed since 2005. PYRN’s successful activities were largely fostered by IPY. With >200 of the 1200 registered members active and engaged, PYRN is capitalising on the availability of social media tools and rising to meet environmental challenges while maintaining its role as a successful network honouring the legacy of IPY.
KW  - Early-career scientists
KW  - Education
KW  - IPY
KW  - International Polar Year
KW  - Outreach
KW  - Permafrost Young Researchers Network
KW  - PYRN
KW  - Science communication
Y1  - 2019
U6  - https://doi.org/10.1017/S0032247418000645
SN  - 0032-2474
SN  - 1475-3057
VL  - 55
IS  - 4
SP  - 216
EP  - 219
PB  - Cambridge Univ. Press
CY  - New York
ER  - 
TY  - JOUR
A1  - Freitas da Cruz, Harry
A1  - Pfahringer, Boris
A1  - Martensen, Tom
A1  - Schneider, Frederic
A1  - Meyer, Alexander
A1  - Böttinger, Erwin
A1  - Schapranow, Matthieu-Patrick
T1  - Using interpretability approaches to update "black-box" clinical prediction models
BT  - an external validation study in nephrology
JF  - Artificial intelligence in medicine : AIM
N2  - Despite advances in machine learning-based clinical prediction models, only few of such models are actually deployed in clinical contexts. Among other reasons, this is due to a lack of validation studies. In this paper, we present and discuss the validation results of a machine learning model for the prediction of acute kidney injury in cardiac surgery patients initially developed on the MIMIC-III dataset when applied to an external cohort of an American research hospital. To help account for the performance differences observed, we utilized interpretability methods based on feature importance, which allowed experts to scrutinize model behavior both at the global and local level, making it possible to gain further insights into why it did not behave as expected on the validation cohort. The knowledge gleaned upon derivation can be potentially useful to assist model update during validation for more generalizable and simpler models. We argue that interpretability methods should be considered by practitioners as a further tool to help explain performance differences and inform model update in validation studies.
KW  - Clinical predictive modeling
KW  - Nephrology
KW  - Validation
KW  - Interpretability
KW  - methods
Y1  - 2021
U6  - https://doi.org/10.1016/j.artmed.2020.101982
SN  - 0933-3657
SN  - 1873-2860
VL  - 111
PB  - Elsevier
CY  - Amsterdam
ER  -