Abstract is missing.
- Preface1-5 [doi]
- Counterfactually Guided Policy Transfer in Clinical SettingsSarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson. 6-18 [doi]
- Adaptive Weighted Multi-View ClusteringShuo Shuo Liu, Lin Lin. 19-36 [doi]
- Bayesian Active Questionnaire Design for Cause-of-Death Assignment Using Verbal AutopsiesToshiya Yoshida, Trinity Shuxian Fan, Tyler H. McCormick, Zhenke Wu, Zehang Richard Li. 37-49 [doi]
- Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space ModelsSiyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin. 50-71 [doi]
- Token Imbalance Adaptation for Radiology Report GenerationYuexin Wu, I-Chan Huang, Xiaolei Huang 0002. 72-85 [doi]
- Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?Zhi Chen 0009, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana. 86-99 [doi]
- Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction TargetSiun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee. 100-116 [doi]
- Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space ModelsLi Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu 0003. 117-132 [doi]
- øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _AutoencoderMingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba. 133-146 [doi]
- Federated Multilingual Models for Medical Transcript AnalysisAndre Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis. 147-162 [doi]
- Towards the Practical Utility of Federated Learning in the Medical DomainHyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi. 163-181 [doi]
- Semantic match: Debugging feature attribution methods in XAI for healthcareGiovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil. 182-190 [doi]
- Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing DatasetsMike A. Merrill, Tim Althoff. 191-206 [doi]
- Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza InfectionsMike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff. 207-228 [doi]
- Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populationsKevin Wu, Dominik Dahlem, Christopher Hane, Eran Halperin, James Zou 0001. 229-242 [doi]
- Large-Scale Study of Temporal Shift in Health Insurance ClaimsChristina X. Ji, Ahmed M. Alaa, David A. Sontag. 243-278 [doi]
- Rare Life Event Detection via Mobile Sensing Using Multi-Task LearningArvind Pillai, Subigya Nepal, Andrew Campbell 0001. 279-293 [doi]
- Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health RecordsMin-Jae Lee, Kyunghoon Hur, Jiyoun Kim, Jinsung Yoon, Edward Choi. 294-313 [doi]
- Clinical Relevance Score for Guided Trauma Injury Pattern Discovery with Weakly Supervised β-VAEQixuan Jin, Jacobien H. F. Oosterhoff, Yepeng Huang, Marzyeh Ghassemi, Gabriel A Brat. 314-339 [doi]
- Who Controlled the Evidence? Question Answering for Disclosure Information ExtractionHardy Hardy, Derek Ruths, Nicholas B. King. 340-349 [doi]
- Fair admission risk prediction with proportional multicalibrationWilliam G. La Cava, Elle Lett, Guangya Wan. 350-378 [doi]
- Neural Fine-Gray: Monotonic neural networks for competing risksVincent Jeanselme, Chang Ho Yoon, Brian D. M. Tom, Jessica K. Barrett. 379-392 [doi]
- Denoising Autoencoders for Learning from Noisy Patient-Reported DataHarry Rubin-Falcone, Joyce M. Lee, Jenna Wiens. 393-409 [doi]
- Contrastive Learning of Electrodermal Activity Representations for Stress DetectionKatie Matton, Robert Lewis, John V. Guttag, Rosalind W. Picard. 410-426 [doi]
- Machine Learning for Arterial Blood Pressure PredictionJessica Zheng, Hanrui Wang 0002, Anand Chandrasekhar, Aaron D. Aguirre, Song Han 0003, Hae-Seung Lee, Charles G. Sodini. 427-439 [doi]
- A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular InformationGeorge H. Chen. 440-476 [doi]
- Leveraging an Alignment Set in Tackling Instance-Dependent Label NoiseDonna Tjandra, Jenna Wiens. 477-497 [doi]
- Evaluating Model Performance in Medical Datasets Over TimeHelen Zhou, Yuwen Chen, Zachary C. Lipton. 498-508 [doi]
- MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series PredictionIman Deznabi, Madalina Fiterau. 509-525 [doi]
- PTGB: Pre-Train Graph Neural Networks for Brain Network AnalysisYi Yang, Hejie Cui, Carl Yang. 526-544 [doi]
- Understanding and Predicting the Effect of Environmental Factors on People with Type 2 DiabetesKailas Vodrahalli, Gregory D. Lyng, Brian L. Hill, Kimmo Kärkkäinen, Jeffrey Hertzberg, James Zou, Eran Halperin. 545-555 [doi]
- Explaining a machine learning decision to physicians via counterfactualsSupriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner. 556-577 [doi]
- Do We Still Need Clinical Language Models?Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J. Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair E. W. Johnson, Emily Alsentzer. 578-597 [doi]