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@inproceedings{DBLP:conf/chil/ChanKOWLP21,
author = {Alvin Chan and
Anna Korsakova and
Yew{-}Soon Ong and
Fernaldo Richtia Winnerdy and
Kah Wai Lim and
Anh Tuan Phan},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {{RNA} alternative splicing prediction with discrete compositional
energy network},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {193--203},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451857},
doi = {10.1145/3450439.3451857},
timestamp = {Sun, 02 Oct 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/ChanKOWLP21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/ChapfuwaAZPCH21,
author = {Paidamoyo Chapfuwa and
Serge Assaad and
Shuxi Zeng and
Michael J. Pencina and
Lawrence Carin and
Ricardo Henao},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Enabling counterfactual survival analysis with balanced representations},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {133--145},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451875},
doi = {10.1145/3450439.3451875},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/ChapfuwaAZPCH21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/DongCDKBB21,
author = {Guimin Dong and
Lihua Cai and
Debajyoti Datta and
Shashwat Kumar and
Laura E. Barnes and
Mehdi Boukhechba},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Influenza-like symptom recognition using mobile sensing and graph
neural networks},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {291--300},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451880},
doi = {10.1145/3450439.3451880},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/chil/DongCDKBB21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/DovASWXKBR0HC21,
author = {David Dov and
Serge Assaad and
Shijing Si and
Rui Wang and
Hongteng Xu and
Shahar Ziv Kovalsky and
Jonathan Bell and
Danielle Elliott Range and
Jonathan Cohen and
Ricardo Henao and
Lawrence Carin},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Affinitention nets: kernel perspective on attention architectures
for set classification with applications to medical text and images},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {14--24},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451856},
doi = {10.1145/3450439.3451856},
timestamp = {Tue, 05 Dec 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/chil/DovASWXKBR0HC21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/Feng21,
author = {Jean Feng},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Learning to safely approve updates to machine learning algorithms},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {164--173},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451864},
doi = {10.1145/3450439.3451864},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/Feng21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/GhalwashYCCS21,
author = {Mohamed F. Ghalwash and
Zijun Yao and
Prithwish Chakraborty and
James V. Codella and
Daby Sow},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Phenotypical ontology driven framework for multi-task learning},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {183--192},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451881},
doi = {10.1145/3450439.3451881},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/GhalwashYCCS21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/HoTM21,
author = {Danliang Ho and
Iain Bee Huat Tan and
Mehul Motani},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Predictive models for colorectal cancer recurrence using multi-modal
healthcare data},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {204--213},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451868},
doi = {10.1145/3450439.3451868},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/HoTM21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/JainSTNHJYNLR21,
author = {Saahil Jain and
Akshay Smit and
Steven Q. H. Truong and
Chanh D. T. Nguyen and
Minh{-}Thanh Huynh and
Mudit Jain and
Victoria A. Young and
Andrew Y. Ng and
Matthew P. Lungren and
Pranav Rajpurkar},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {VisualCheXbert: addressing the discrepancy between radiology report
labels and image labels},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {105--115},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451862},
doi = {10.1145/3450439.3451862},
timestamp = {Wed, 04 May 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/JainSTNHJYNLR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/KeEBNR21,
author = {Alexander Ke and
William Ellsworth and
Oishi Banerjee and
Andrew Y. Ng and
Pranav Rajpurkar},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {CheXtransfer: performance and parameter efficiency of ImageNet models
for chest X-Ray interpretation},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {116--124},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451867},
doi = {10.1145/3450439.3451867},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/KeEBNR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/KerkoucheACG21,
author = {Raouf Kerkouche and
Gergely {\'{A}}cs and
Claude Castelluccia and
Pierre Genev{\`{e}}s},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Privacy-preserving and bandwidth-efficient federated learning: an
application to in-hospital mortality prediction},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {25--35},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451859},
doi = {10.1145/3450439.3451859},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/KerkoucheACG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/KhorramLL21,
author = {Saeed Khorram and
Tyler Lawson and
Fuxin Li},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {iGOS++: integrated gradient optimized saliency by bilateral perturbations},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {174--182},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451865},
doi = {10.1145/3450439.3451865},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/KhorramLL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/LinialRES21,
author = {Ori Linial and
Neta Ravid and
Danny Eytan and
Uri Shalit},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Generative {ODE} modeling with known unknowns},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {79--94},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451866},
doi = {10.1145/3450439.3451866},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/LinialRES21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/LiuJFXPM21,
author = {Xin Liu and
Ziheng Jiang and
Josh Fromm and
Xuhai Xu and
Shwetak N. Patel and
Daniel McDuff},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {MetaPhys: few-shot adaptation for non-contact physiological measurement},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {154--163},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451870},
doi = {10.1145/3450439.3451870},
timestamp = {Tue, 09 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/LiuJFXPM21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/MaagFKSZ21,
author = {Basil Maag and
Stefan Feuerriegel and
Mathias Kraus and
Maytal Saar{-}Tsechansky and
Thomas Z{\"{u}}ger},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Modeling longitudinal dynamics of comorbidities},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {222--235},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451871},
doi = {10.1145/3450439.3451871},
timestamp = {Sun, 25 Jul 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/MaagFKSZ21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/ManduchiHFVRF21,
author = {Laura Manduchi and
Matthias H{\"{u}}ser and
Martin Faltys and
Julia E. Vogt and
Gunnar R{\"{a}}tsch and
Vincent Fortuin},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {{T-DPSOM:} an interpretable clustering method for unsupervised learning
of patient health states},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {236--245},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451872},
doi = {10.1145/3450439.3451872},
timestamp = {Tue, 07 May 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/ManduchiHFVRF21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/McDermottNKZGSG21,
author = {Matthew B. A. McDermott and
Bret Nestor and
Evan Kim and
Wancong Zhang and
Anna Goldenberg and
Peter Szolovits and
Marzyeh Ghassemi},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {A comprehensive {EHR} timeseries pre-training benchmark},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {257--278},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451877},
doi = {10.1145/3450439.3451877},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/McDermottNKZGSG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/MincuLHBPSMTKS21,
author = {Diana Mincu and
Eric Loreaux and
Shaobo Hou and
Sebastien Baur and
Ivan Protsyuk and
Martin Seneviratne and
Anne Mottram and
Nenad Tomasev and
Alan Karthikesalingam and
Jessica Schrouff},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Concept-based model explanations for electronic health records},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {36--46},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451858},
doi = {10.1145/3450439.3451858},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/MincuLHBPSMTKS21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/PandlFTS21,
author = {Konstantin D. Pandl and
Fabian Feiland and
Scott Thiebes and
Ali Sunyaev},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Trustworthy machine learning for health care: scalable data valuation
with the shapley value},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {47--57},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451861},
doi = {10.1145/3450439.3451861},
timestamp = {Sun, 12 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/chil/PandlFTS21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/RaghuGYPDS21,
author = {Aniruddh Raghu and
John V. Guttag and
Katherine Young and
Eugene Pomerantsev and
Adrian V. Dalca and
Collin M. Stultz},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Learning to predict with supporting evidence: applications to clinical
risk prediction},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {95--104},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451869},
doi = {10.1145/3450439.3451869},
timestamp = {Mon, 05 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/chil/RaghuGYPDS21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/RajpurkarJPNL21,
author = {Pranav Rajpurkar and
Anirudh Joshi and
Anuj Pareek and
Andrew Y. Ng and
Matthew P. Lungren},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {CheXternal: generalization of deep learning models for chest X-ray
interpretation to photos of chest X-rays and external clinical settings},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {125--132},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451876},
doi = {10.1145/3450439.3451876},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/RajpurkarJPNL21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/RocheteauLH21,
author = {Emma Rocheteau and
Pietro Li{\`{o}} and
Stephanie L. Hyland},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Temporal pointwise convolutional networks for length of stay prediction
in the intensive care unit},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {58--68},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451860},
doi = {10.1145/3450439.3451860},
timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/chil/RocheteauLH21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/SainiJF21,
author = {Shreshth Saini and
Young Seok Jeon and
Mengling Feng},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {B-SegNet: branched-SegMentor network for skin lesion segmentation},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {214--221},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451873},
doi = {10.1145/3450439.3451873},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/SainiJF21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/SaponaroVDD21,
author = {Matthew Saponaro and
Ajith Vemuri and
Greg Dominick and
Keith Decker},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Contextualization and individualization for just-in-time adaptive
interventions to reduce sedentary behavior},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {246--256},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451874},
doi = {10.1145/3450439.3451874},
timestamp = {Sat, 30 Sep 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/SaponaroVDD21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/ShinPBH21,
author = {Bonggun Shin and
Sungsoo Park and
JinYeong Bak and
Joyce C. Ho},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Controlled molecule generator for optimizing multiple chemical properties},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {146--153},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451879},
doi = {10.1145/3450439.3451879},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/ShinPBH21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/SpathisPBWM21,
author = {Dimitris Spathis and
Ignacio Perez{-}Pozuelo and
S{\o}ren Brage and
Nicholas J. Wareham and
Cecilia Mascolo},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Self-supervised transfer learning of physiological representations
from free-living wearable data},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {69--78},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451863},
doi = {10.1145/3450439.3451863},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/SpathisPBWM21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/ZhangDSMJG21,
author = {Haoran Zhang and
Natalie Dullerud and
Laleh Seyyed{-}Kalantari and
Quaid Morris and
Shalmali Joshi and
Marzyeh Ghassemi},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {An empirical framework for domain generalization in clinical settings},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {279--290},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451878},
doi = {10.1145/3450439.3451878},
timestamp = {Fri, 26 Apr 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/ZhangDSMJG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/chil/ZhuR21,
author = {Weicheng Zhu and
Narges Razavian},
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {Variationally regularized graph-based representation learning for
electronic health records},
booktitle = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
pages = {1--13},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439.3451855},
doi = {10.1145/3450439.3451855},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/ZhuR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@proceedings{DBLP:conf/chil/2021,
editor = {Marzyeh Ghassemi and
Tristan Naumann and
Emma Pierson},
title = {{ACM} {CHIL} '21: {ACM} Conference on Health, Inference, and Learning,
Virtual Event, USA, April 8-9, 2021},
publisher = {{ACM}},
year = {2021},
url = {https://doi.org/10.1145/3450439},
doi = {10.1145/3450439},
isbn = {978-1-4503-8359-2},
timestamp = {Mon, 12 Apr 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/chil/2021.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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