Table of Contents

• Conference on Health, Inference, and Learning (CHIL) 2024Tom J. Pollard, Edward Choi, Pankhuri Singhal, Michael C. Hughes, Elena Sizikova, Bobak Mortazavi, Irene Y. Chen, Fei Wang, Tasmie Sarker, Matthew B. A. McDermott, Marzyeh Ghassemi. 1-6 [doi]
• Interpretation of Intracardiac Electrograms Through Textual RepresentationsWilliam Han, Diana Guadalupe Gomez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao. 7-23 [doi]
• DDoS: A Graph neural Network Based Drug Synergy Prediction AlgorithmKyriakos Schwarz, Alicia Pliego-Mendieta, Amina Mollaysa, Lara Planas-Paz, Chantal Pauli, Ahmed Allam, Michael Krauthammer. 24-38 [doi]
• Daily Physical Activity Monitoring: Adaptive Learning from Multi-source Motion Sensor DataHaoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng. 39-54 [doi]
• Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHAShinpei Nakamura-Sakai, Dennis L. Shung, Jasjeet S. Sekhon. 55-71 [doi]
• Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report AnalysisKyungsu Kim, Junhyun Park, Saúl Langarica, Adham Mahmoud Alkhadrawi, Synho Do. 72-87 [doi]
• Multiple Instance Learning with Absolute Position InformationMeera Krishnamoorthy, Jenna Wiens. 88-104 [doi]
• SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsRunze Yan, Cheng Ding, Ran Xiao, Alex Fedorov, Randall J. Lee, Fadi B. Nahab, Xiao Hu 0002. 105-119 [doi]
• An Improved Bayesian Permutation Entropy Estimator with Wasserstein-Optimized Hierarchical PriorsZachary Blanks, Donald E. Brown, Marc A Adams, Siddhartha S. Angadi. 120-136 [doi]
• Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data ImputationHui Wei, Maxwell A. Xu, Colin Samplawski, James Matthew Rehg, Santosh Kumar 0001, Benjamin M. Marlin. 137-154 [doi]
• Regularizing and Interpreting Vision Transformer by Patch Selection on Echocardiography DataAlfred Nilsson, Hossein Azizpour. 155-168 [doi]
• A Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal DataPavan Uttej Ravva, Pinar Kullu, Mohammad Fahim Abrar, Roghayeh Leila Barmaki. 169-181 [doi]
• From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHRRan Xu 0002, Yiwen Lu, Chang Liu, Yong Chen 0016, Yan Sun, Xiao Hu 0002, Joyce C. Ho, Carl Yang 0001. 182-197 [doi]
• Explainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic RegressionKei Sen Fong, Mehul Motani. 198-216 [doi]
• Simulation of Health Time Series with NonstationarityAdedolapo Aishat Toye, Louis Adedapo Gomez, Samantha Kleinberg. 217-232 [doi]
• Brain-Mamba: Encoding Brain Activity via Selective State Space ModelsAli Behrouz, Farnoosh Hashemi. 233-250 [doi]
• Data-driven Subgrouping of Patient Trajectories with Chronic Diseases: Evidence from Low Back PainChristof Naumzik, Alice Kongsted, Werner Vach, Stefan Feuerriegel. 251-279 [doi]
• Vision-Language Generative Model for View-Specific Chest X-ray GenerationHyunGyung Lee, Da Young Lee, Wonjae Kim, Jin-Hwa Kim, Tackeun Kim, Jihang Kim, Leonard Sunwoo, Edward Choi. 280-296 [doi]
• FAMEWS: a Fairness Auditing tool for Medical Early-Warning SystemsMarine Hoche, Olga Mineeva, Manuel Burger, Alessandro Blasimme, Gunnar Rätsch. 297-311 [doi]
• Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-based Contrastive LearningQing En, Yuhong Guo. 312-325 [doi]
• FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry BenchmarkingLorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stéphane Marchand-Maillet. 326-338 [doi]
• A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language ModelsStefan Hegselmann, Shannon Shen 0001, Florian Gierse, Monica Agrawal, David A. Sontag, Xiaoyi Jiang 0001. 339-379 [doi]
• Addressing Wearable Sleep Tracking Inequity: A New Dataset and Novel Methods for a Population with Sleep DisordersWill Ke Wang, Jiamu Yang, Leeor Hershkovich, Hayoung Jeong, Bill Chen, Karnika Singh, Ali R. Roghanizad, Md Mobashir Hasan Shandhi, Andrew R. Spector, Jessilyn Dunn. 380-396 [doi]
• FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable SystemsAlireza Amirshahi, Jonathan Dan, Jose Angel Miranda, Amir Aminifar, David Atienza. 397-409 [doi]
• Interpretable breast cancer classification using CNNs on mammographic imagesAnn-Kristin Balve, Peter Hendrix. 410-426 [doi]
• Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT DataWai Tak Lau, Ye Tian, Roshan Kenia, Saanvi Aima, Kaveri A. Thakoor. 427-445 [doi]
• Tuning In: Comparative Analysis of Audio Classifier Performance in Clinical Settings with Limited DataHamza Mahdi, Eptehal Nashnoush, Rami Saab, Arjun Balachandar, Rishit Dagli, Lucas X. Perri, Houman Khosravani. 446-460 [doi]
• s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkersRaghav Tandon, James J. Lah, Cassie S. Mitchell. 461-476 [doi]
• Regulating AI Adaptation: An Analysis of AI Medical Device UpdatesKevin Wu, Eric Wu, Kit T. Rodolfa, Daniel E. Ho, James Zou 0001. 477-488 [doi]
• Retrieving Evidence from EHRs with LLMs: Possibilities and ChallengesHiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher Potter, Geoffrey Young, Silvio Amir, Byron C. Wallace. 489-505 [doi]
• 2 peak in Childhood Acute Leukemia SurvivorsNicolas Raymond, Hakima Laribi, Maxime Caru, Mehdi Mitiche, Valérie Marcil, Maja Krajinovic, Daniel Curnier, Daniel Sinnett, Martin Vallières. 506-521 [doi]
• Health-LLM: Large Language Models for Health Prediction via Wearable Sensor DataYubin Kim 0002, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, Hae Won Park 0001. 522-539 [doi]
• Dynamic Survival Analysis for Early Event PredictionHugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch. 540-557 [doi]
• Contextual Unsupervised Deep Clustering in Digital PathologyMariia Sidulova, Seyed Kahaki, Ian S. Hagemann, Alexej Gossmann. 558-565 [doi]
• DoseMate: A Real-world Evaluation of Machine Learning Classification of Pill Taking Using Wrist-worn Motion SensorsAntoine Nzeyimana, Anthony Campbell, James M. Scanlan, Joanne Stekler, Jenna L. Marquard, Barry Saver, Jeremy Gummeson. 566-581 [doi]
• Systematic Evaluation of Self-Supervised Learning Approaches for Wearable-Based Fatigue RecognitionTamas Visy, Rita Kuznetsova, Christian Holz, Shkurta Gashi. 582-596 [doi]
• Adaptive Interventions with User-Defined Goals for Health Behavior ChangeAishwarya Mandyam, Matthew Jörke, William Denton, Barbara E. Engelhardt, Emma Brunskill. 597-618 [doi]
• Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment From the eGFR EquationMarika M. Cusick, Glenn M. Chertow, Douglas K. Owens, Michelle Y. Williams, Sherri Rose. 619-643 [doi]
• A cross-study Analysis of Wearable Datasets and the Generalizability of Acute Illness Monitoring ModelsPatrick Kasl, Severine Soltani, Lauryn Keeler Bruce, Varun K. Viswanath, Wendy Hartogensis, Amarnath Gupta, Ilkay Altintas, Stephan Dilchert, Frederick M. Hecht, Ashley Mason, Benjamin L. Smarr. 644-682 [doi]
• Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney PlacementMukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddhardh Nadendla, Casey Canfield. 683-695 [doi]