CHIL 2024

40 papers

A Cross-Study Analysis of Wearable Datasets and the Generalizability of Acute Illness Monitoring Models Patrick Kasl, Severine Soltani, Lauryn Keeler Bruce, Varun Kumar Viswanath, Wendy Hartogensis, Amarnath Gupta, Ilkay Altintas, Stephan Dilchert, Frederick M Hecht, Ashley Mason, Benjamin L Smarr

A Data-Centric Approach to Generate Faithful and High Quality Patient Summaries with Large Language Models Stefan Hegselmann, Zejiang Shen, Florian Gierse, Monica Agrawal, David Sontag, Xiaoyi Jiang

A Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal Data Pavan Uttej Ravva, Pinar Kullu, Mohammad Fahim Abrar, Roghayeh Leila Barmaki

Adaptive Interventions with User-Defined Goals for Health Behavior Change Aishwarya Mandyam, Matthew Jörke, William Denton, Barbara E. Engelhardt, Emma Brunskill

Addressing Wearable Sleep Tracking Inequity: A New Dataset and Novel Methods for a Population with Sleep Disorders Will Ke Wang, Jiamu Yang, Leeor Hershkovich, Hayoung Jeong, Bill Chen, Karnika Singh, Ali R Roghanizad, Md Mobashir Hasan Shandhi, Andrew R Spector, Jessilyn Dunn

Algorithmic Changes Are Not Enough: Evaluating the Removal of Race Adjustment from the eGFR Equation Marika M Cusick, Glenn M Chertow, Douglas K Owens, Michelle Y Williams, Sherri Rose

An Improved Bayesian Permutation Entropy Estimator with Wasserstein-Optimized Hierarchical Priors Zachary Blanks, Donald E Brown, Marc A Adams, Siddhartha S Angadi

Brain-Mamba: Encoding Brain Activity via Selective State Space Models Ali Behrouz, Farnoosh Hashemi

Conference on Health, Inference, and Learning (CHIL) 2024 Tom Pollard, Edward Choi, Pankhuri Singhal, Michael Hughes, Elena Sizikova, Bobak Mortazavi, Irene Chen, Fei Wang, Tasmie Sarker, Matthew McDermott, Marzyeh Ghassemi

Contextual Unsupervised Deep Clustering in Digital Pathology Mariia Sidulova, Seyed Kahaki, Ian Hagemann, Alexej Gossmann

Daily Physical Activity Monitoring: Adaptive Learning from Multi-Source Motion Sensor Data Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Shen, Zeyu Zheng

Data-Driven Subgrouping of Patient Trajectories with Chronic Diseases: Evidence from Low Back Pain Christof Friedrich Naumzik, Alice Kongsted, Werner Vach, Stefan Feuerriegel

DDoS: A Graph Neural Network Based Drug Synergy Prediction Algorithm Kyriakos Schwarz, Pliego Mendieta Alicia, Amina Mollaysa, Planas-Paz Lara, Chantal Pauli, Ahmed Allam, Michael Krauthammer

Development of Error Passing Network for Optimizing the Prediction of VO$_2$ Peak in Childhood Acute Leukemia Survivors Nicolas Raymond, Hakima Laribi, Maxime Caru, Mehdi Mitiche, Valerie Marcil, Maja Krajinovic, Daniel Curnier, Daniel Sinnett, Martin Vallières

DoseMate: A Real-World Evaluation of Machine Learning Classification of Pill Taking Using Wrist-Worn Motion Sensors Antoine Nzeyimana, Anthony Campbell, James M Scanlan, Joanne D Stekler, Jenna Marquard, Barry G Saver, Jeremy Gummeson

Dynamic Survival Analysis for Early Event Prediction Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Ratsch

Enhancing Collaborative Medical Outcomes Through Private Synthetic Hypercube Augmentation: PriSHA Shinpei Nakamura Sakai, Dennis Shung, Jasjeet S Sekhon

Explainable and Privacy-Preserving Machine Learning via Domain-Aware Symbolic Regression Kei Sen Fong, Mehul Motani

FAMEWS: A Fairness Auditing Tool for Medical Early-Warning Systems Marine Hoche, Olga Mineeva, Manuel Burger, Alessandro Blasimme, Gunnar Ratsch

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems Alireza Amirshahi, Jonathan Dan, Jose Angel Miranda, Amir Aminifar, David Atienza

FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stephane Marchand-Maillet

From Basic to Extra Features: Hypergraph Transformer Pretrain-Then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C Ho, Carl Yang

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data Yubin Kim, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, Hae Won Park

Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis Kyungsu Kim, Junhyun Park, Saul Langarica, Adham Mahmoud Alkhadrawi, Synho Do

Interpretable Breast Cancer Classification Using CNNs on Mammographic Images Ann-Kristin Balve, Peter Hendrix

Interpretation of Intracardiac Electrograms Through Textual Representations William Han, Diana Guadalupe Gomez, Avi Alok, Chaojing Duan, Michael A Rosenberg, Douglas J Weber, Emerson Liu, Ding Zhao

Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement Mukund Telukunta, Sukruth Rao, Gabriella Stickney, Venkata Sriram Siddhardh Nadendla, Casey Canfield

Multiple Instance Learning with Absolute Position Information Meera Krishnamoorthy, Jenna Wiens

Regularizing and Interpreting Vision Transformer by Patch Selection on Echocardiography Data Alfred Nilsson, Hossein Azizpour

Regulating AI Adaptation: An Analysis of AI Medical Device Updates Kevin Wu, Eric Wu, Kit Rodolfa, Daniel E Ho, James Zou

Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher A Potter, Geoffrey Young, Silvio Amir, Byron C Wallace

S-SuStaIn: Scaling Subtype and Stage Inference via Simultaneous Clustering of Subjects and Biomarkers Raghav Tandon, James J Lah, Cassie S Mitchell

Simulation of Health Time Series with Nonstationarity Adedolapo Aishat Toye, Louis Gomez, Samantha Kleinberg

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals Runze Yan, Cheng Ding, Ran Xiao, Alex Fedorov, Randall J Lee, Fadi Nahab, Xiao Hu

Systematic Evaluation of Self-Supervised Learning Approaches for Wearable-Based Fatigue Recognition Tamás Visy, Rita Kuznetsova, Christian Holz, Shkurta Gashi

Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation Hui Wei, Maxwell A Xu, Colin Samplawski, James Matthew Rehg, Santosh Kumar, Benjamin Marlin

Tuning in: Comparative Analysis of Audio Classifier Performance in Clinical Settings with Limited Data Hamza Mahdi, Eptehal Nashnoush, Rami Saab, Arjun Balachandar, Rishit Dagli, Lucas Perri, Houman Khosravani

Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-Based Contrastive Learning Qing En, Yuhong Guo

Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data Wai Tak Lau, Ye Tian, Roshan Kenia, Saanvi Aima, Kaveri A Thakoor

Vision-Language Generative Model for View-Specific Chest X-Ray Generation Hyungyung Lee, Da Young Lee, Wonjae Kim, Jin-Hwa Kim, Tackeun Kim, Jihang Kim, Leonard Sunwoo, Edward Choi