{"id":709,"date":"2025-06-23T09:01:40","date_gmt":"2025-06-23T09:01:40","guid":{"rendered":"https:\/\/chil.ahli.cc\/2025\/?page_id=709"},"modified":"2025-06-23T11:02:12","modified_gmt":"2025-06-23T11:02:12","slug":"papers","status":"publish","type":"page","link":"https:\/\/chil.ahli.cc\/2025\/papers\/","title":{"rendered":"Papers"},"content":{"rendered":"\t\t
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Learning Disease Progression Models That Capture Health Disparities<\/strong><\/p>

Erica Chiang, Divya M Shanmugam, Ashley Beecy, <\/em>Gabriel Sayer, Deborah Estrin, Nikhil Garg, and <\/em>Emma Pierson. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Global Deep Forecasting with Patient-Specific Pharmacokinetics<\/strong><\/p>

Willa Potosnak, Cristian Ignacio Challu, Kin G. Olivares, Keith A Dufendach, and Artur Dubrawski.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature?<\/strong><\/p>

Hye Sun Yun, Karen Y.C. Zhang, Ramez Kouzy, Iain James Marshall, Junyi Jessy Li, and Byron C Wallace.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Predicting Health States of Patients with Chronic Pain from Cellphone Usage Data<\/strong><\/p>

Maya Stemmer, Lior Ungar, Talia Friedman, Lihi Bik, Yotam Hadari, Itamar Efrati, Yarden Rachamim, Lior Carmi, and Shai Fine.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Towards Predicting Temporal Changes in a Patient’s Chest X-ray Images based on Electronic Health Records<\/strong><\/p>

Daeun Kyung, Junu Kim, Tackeun Kim, and Edward Choi. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Bridging the Utility Gap between MALDI-TOF and WGS for Affordable Outbreak Cluster Detection<\/strong><\/p>

Chang Liu, Jieshi Chen, Lee H Harrison, and Artur Dubrawski. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-compliance<\/strong><\/p>

Winston Chen, Trenton Chang, and Jenna Wiens.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series<\/strong><\/p>

Shashank Yadav and Vignesh Subbian. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs<\/strong><\/p>

Xiaoman Zhang, Julian Nicolas Acosta, Hong-Yu <\/em>Zhou, and Pranav Rajpurkar.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning<\/strong><\/p>

Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, and Aaqib Saeed<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Multiaccuracy for Subpopulation Calibration Over Distribution Shift in Medical Prediction Models<\/strong><\/p>

Daniel Kapash, Noam Barda, Omer Reingold, Noa <\/em>Dagan, and Ran Balicer.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models<\/strong><\/p>

Jaeho Park, TaeJun Park, Joon-myoung Kwon, and <\/em>Yong-Yeon Jo.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders<\/strong><\/p>

Zongliang Ji, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg, and Rahul G Krishnan.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports<\/strong><\/p>

Xiao Yu Cindy Zhang, Carlos R. Ferreira, Francis Rossignol, Raymond T. Ng, Wyeth Wasserman, and Jian Zhu. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings<\/strong><\/p>

Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, and Gamze Gursoy.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals<\/strong><\/p>

Yong-Yeon Jo, Byeong Tak Lee, Jeong-Ho Hong, <\/em>Hak Seung Lee, Joon-myoung Kwon, and <\/em>Beom Joon Kim<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication<\/strong><\/p>

Zhongyuan Liang, Arvind Suresh, and Irene Y. Chen.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases<\/strong><\/p>

Adedolapo Aishat Toye, Asuman Celik, and Samantha Kleinberg. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Electrocardiogram\u2013Language Model for Few-Shot Question Answering with Meta Learning<\/strong><\/p>

Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, and <\/em>Aaqib Saeed.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model<\/strong><\/p>

Muyan Jiang, Yunkai Zhang, and Anil Aswani.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs<\/strong><\/p>

Yihan Lin, Zhirong Yu, and Simon A. Lee.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis<\/strong><\/p>

YongKyung Oh and Alex Bui<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data<\/strong><\/p>

Kei Sen Fong and Mehul Motani.\u00a0<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys<\/strong><\/p>

Zeyu Yang, Han Yu, and Akane Sano.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation<\/strong><\/p>

Julian Nicolas Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric Karl Oermann, and Pranav Rajpurkar. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Causal Considerations can Deterimine the Utility of Machine Learning Assisted GWAS<\/strong><\/p>

Sumit Mukherjee, Zachary R McCaw, David Amar, Rounak Dey, Thomas W Soare, Hari Somineni, Nicholas Eriksson, and Colm O\u2019Dushlaine.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations<\/strong><\/p>

Yoanna Turura, Sam Freesun Friedman, Aurora Cre<\/em>mer, Mahnaz Maddah, and Sana Tonekaboni. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans<\/strong><\/p>

Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga Lopez, Krzysztof J.Geras, and Farah E. Shamout.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis<\/strong><\/p>

Shahriar Noroozizadeh, Pim Welle, Jeremy Weiss, and George H. Chen. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Investigating Primary Care Indications to Improve the Quality of Electronic Health Record Data in Target Trial Emulation for Dementia<\/strong><\/p>

Max I Sunog, Colin Magdamo, Marie-Laure Charpignon, and Mark W. Albers. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Transformer Model for Alzheimer’s Disease Progression Prediction Using Longitudinal Visit Sequences<\/strong><\/p>

Mahdi Moghaddami, Clayton Schubring, and Mohammad Siadat.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Uncertainty Quantification for Machine Learning in Healthcare: A Survey<\/strong><\/p>

Leopoldo Julian Lechuga Lopez, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, and Farah E. Shamout. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Beyond Prompting: Time2Lang – Bridging Time-Series Foundation Models and Large Language Models for Health Sensing<\/strong><\/p>

Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M Mackin, Michael V. Heinz, Tess Z Griffin, Nicholas C. Jacobson, and Andrew Campbell.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Feasibility of Immersive Virtual Reality and Customized Robotics with Wearable Sensors for Upper Extremity Training<\/strong><\/p>

Behdokht Kiafar, Pinar Kullu, Rakshith<\/em>
Lokesh, Amit Chaudhari, Qile Wang, Shayla<\/em>
Sharmin, Sagar M. Doshi, Elham Bakhshipour, Erik Thostenson, Joshua Cashaback, and Roghayeh Leila Barmaki.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches<\/strong><\/p>

Will Ke Wang, Bill Chen, Jiamu Yang, Hay<\/em>oung Jeong, Leeor Hershkovich, Shekh Md Mah<\/em>mudul Islam, Mengde Liu, Ali R Roghanizad, <\/em>Md Mobashir Hasan Shandhi, Andrew R Spector, <\/em>and Jessilyn Dunn.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice<\/strong><\/p>

Stefan Kraft, Andreas Theissler, Vera<\/em>
Wienhausen-Wilke, Philipp Walter, Gjergji<\/em>
Kasneci, and Hendrik Lensch.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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A Study of Artifacts on Melanoma Classification under Diffusion-Based Perturbations<\/strong><\/p>

Qixuan Jin\u00a0<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction<\/strong><\/p>

Leisheng Yu, Yanxiao Cai, Minxing Zhang, and Xia <\/em>Hu.\u00a0<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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How does my language model understand clinical text?<\/strong><\/p>

Furong Jia, David Sontag, and Monica Agrawal.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Distributionally Robust Learning in Survival Analysis<\/strong><\/p>

Yeping Jin, Lauren Wise, and Ioannis Paschalidis.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation<\/strong><\/p>

Mengying Yan, Meng Xia, Wei Angel Huang, Chuan Hong, Benjamin Goldstein, and Matthew M. Engelhard. <\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records<\/strong><\/p>

Sujeong Im, Jungwoo Oh, and Edward Choi<\/em>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Learning Disease Progression Models That Capture Health Disparities Erica Chiang, Divya M Shanmugam, Ashley Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, and Emma Pierson. Global Deep Forecasting with Patient-Specific Pharmacokinetics … <\/p>\n

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