Abstract is missing.
- Variationally regularized graph-based representation learning for electronic health recordsWeicheng Zhu, Narges Razavian. 1-13 [doi]
- Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and imagesDavid Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen 0004, Ricardo Henao, Lawrence Carin. 14-24 [doi]
- Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality predictionRaouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès. 25-35 [doi]
- Concept-based model explanations for electronic health recordsDiana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesalingam, Jessica Schrouff. 36-46 [doi]
- Trustworthy machine learning for health care: scalable data valuation with the shapley valueKonstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali Sunyaev. 47-57 [doi]
- Temporal pointwise convolutional networks for length of stay prediction in the intensive care unitEmma Rocheteau, Pietro Liò, Stephanie L. Hyland. 58-68 [doi]
- Self-supervised transfer learning of physiological representations from free-living wearable dataDimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo. 69-78 [doi]
- Generative ODE modeling with known unknownsOri Linial, Neta Ravid, Danny Eytan, Uri Shalit. 79-94 [doi]
- Learning to predict with supporting evidence: applications to clinical risk predictionAniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz. 95-104 [doi]
- VisualCheXbert: addressing the discrepancy between radiology report labels and image labelsSaahil Jain, Akshay Smit, Steven Q. H. Truong, Chanh D. T. Nguyen, Minh-Thanh Huynh, Mudit Jain, Victoria A. Young, Andrew Y. Ng, Matthew P. Lungren, Pranav Rajpurkar. 105-115 [doi]
- CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretationAlexander Ke, William Ellsworth, Oishi Banerjee, Andrew Y. Ng, Pranav Rajpurkar. 116-124 [doi]
- CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settingsPranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren. 125-132 [doi]
- Enabling counterfactual survival analysis with balanced representationsPaidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao. 133-145 [doi]
- Controlled molecule generator for optimizing multiple chemical propertiesBonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho. 146-153 [doi]
- MetaPhys: few-shot adaptation for non-contact physiological measurementXin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel J. McDuff. 154-163 [doi]
- Learning to safely approve updates to machine learning algorithmsJean Feng. 164-173 [doi]
- iGOS++: integrated gradient optimized saliency by bilateral perturbationsSaeed Khorram, Tyler Lawson, Fuxin Li. 174-182 [doi]
- Phenotypical ontology driven framework for multi-task learningMohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James Codella, Daby Sow. 183-192 [doi]
- RNA alternative splicing prediction with discrete compositional energy networkAlvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh-Tuan Phan. 193-203 [doi]
- Predictive models for colorectal cancer recurrence using multi-modal healthcare dataDanliang Ho, Iain Bee Huat Tan, Mehul Motani. 204-213 [doi]
- B-SegNet: branched-SegMentor network for skin lesion segmentationShreshth Saini, Young Seok Jeon, Mengling Feng. 214-221 [doi]
- Modeling longitudinal dynamics of comorbiditiesBasil Maag, Stefan Feuerriegel, Mathias Kraus, Maytal Saar-Tsechansky, Thomas Züger. 222-235 [doi]
- T-DPSOM: an interpretable clustering method for unsupervised learning of patient health statesLaura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin. 236-245 [doi]
- Contextualization and individualization for just-in-time adaptive interventions to reduce sedentary behaviorMatthew Saponaro, Ajith Vemuri, Greg Dominick, Keith Decker. 246-256 [doi]
- A comprehensive EHR timeseries pre-training benchmarkMatthew B. A. McDermott, Bret Nestor, Evan Kim, Wancong Zhang, Anna Goldenberg, Peter Szolovits, Marzyeh Ghassemi. 257-278 [doi]
- An empirical framework for domain generalization in clinical settingsHaoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi. 279-290 [doi]
- Influenza-like symptom recognition using mobile sensing and graph neural networksGuimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba. 291-300 [doi]