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ORCIDCHIL 2025: Berkeley, USA
- Xuhai Orson Xu, Edward Choi, Pankhuri Singhal, Walter Gerych, Shengpu Tang, Monica Agrawal, Adarsh Subbaswamy, Elena Sizikova, Jessilyn Dunn, Roxana Daneshjou, Tasmie Sarker, Matthew McDermott, Irene Chen:
Conference on Health, Inference, and Learning, UC Berkeley, Berkeley, USA, 25-27 June 2025. Proceedings of Machine Learning Research 287, PMLR 2025 - Erica Chiang, Divya Shanmugam, Ashley N. Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson:
Learning Disease Progression Models That Capture Health Disparities. 1-29 - Xiaoman Zhang, Julián Nicolás Acosta, Hong-Yu Zhou, Pranav Rajpurkar:
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs. 30-42 - Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, Gamze Gürsoy:
KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings. 43-62 - JaeHo Park, TaeJun Park, Joon-myoung Kwon, Yong-Yeon Jo:
Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models. 63-88 - Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed:
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning. 89-104 - Yihan Lin, Zhirong Yu, Simon A. Lee:
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs. 105-129 - Daniel Kapash, Noam Barda, Omer Reingold, Noa Dagan, Ran D. Balicer:
Multiaccuracy for Subpopulation Calibration Over Distribution Shift in Medical Prediction Models. 130-144 - Will Ke Wang, Bill Chen, Jiamu Yang, Hayoung Jeong, Leeor Hershkovich, Shekh Md Mahmudul Islam, Mengde Liu, Ali R. Roghanizad, Md Mobashir Hasan Shandhi, Andrew R. Spector, Jessilyn Dunn:
WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches. 145-165 - Zeyu Yang, Han Yu, Akane Sano:
Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys. 166-178 - Sumit Mukherjee, Zachary R. McCaw, David Amar, Rounak Dey, Thomas W. Soare, Hari Somineni, Nicholas Eriksson, Colm O'Dushlaine:
Causal considerations can deterimine the utility of machine learning assisted GWAS. 179-193 - Winston Chen, Trenton Chang, Jenna Wiens:
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-compliance. 194-230 - Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, Aaqib Saeed:
CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning. 231-246 - Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi:
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records. 247-267 - Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M. Mackin, Michael V. Heinz, Tess Z. Griffin, Nicholas C. Jacobson, Andrew Campbell:
Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing. 268-288 - Shashank Yadav, Vignesh Subbian:
When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series. 289-305 - Willa Potosnak, Cristian I. Challu, Kin G. Olivares, Keith A. Dufendach, Artur Dubrawski:
Global Deep Forecasting with Patient-Specific Pharmacokinetics. 306-336 - Zongliang Ji, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg, Rahul G. Krishnan:
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders. 337-368 - Yeping Jin, Lauren Wise, Ioannis Ch. Paschalidis:
Distributionally Robust Learning in Survival Analysis. 369-380 - Yong-Yeon Jo, Byeong Tak Lee, Jeong-Ho Hong, Hak Seung Lee, Joon-Myoung Kwon, Beom Joon Kim:
Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals. 381-394 - Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci, Hendrik Lensch:
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice. 395-429 - Zhongyuan Liang, Arvind Suresh, Irene Y. Chen:
Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication. 430-442 - Maya Stemmer, Lior Ungar, Talia Friedman, Lihi Bik, Yotam Hadari, Itamar Efrati, Yarden Rachamim, Lior Carmi, Shai Fine:
Predicting Health States of Patients with Chronic Pain from Cellphone Usage Data. 443-457 - Hye Sun Yun, Karen Y. C. Zhang, Ramez Kouzy, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace:
Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? 458-479 - Adedolapo Aishat Toye, Asuman Celik, Samantha Kleinberg:
Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases. 480-501 - YongKyung Oh, Alex Bui:
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis. 502-526 - Xiao Yu Cindy Zhang, Carlos R. Ferreira, Francis Rossignol, Raymond T. Ng, Wyeth Wasserman, Jian Zhu:
CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports. 527-542 - Behdokht Kiafar, Pinar Kullu, Rakshith Lokesh, Amit Chaudhari, Qile Wang, Shayla Sharmin, Sagar M. Doshi, Elham Bakhshipour, Erik T. Thostenson, Joshua G. A. Cashaback, Roghayeh Leila Barmaki:
Feasibility of Immersive Virtual Reality and Customized Robotics with Wearable Sensors for Upper Extremity Training. 543-556 - Chang Liu, Jieshi Chen, Lee H. Harrison, Artur Dubrawski:
Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection. 557-572 - Shahriar Noroozizadeh, Pim Welle, Jeremy C. Weiss, George H. Chen:
The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis. 573-609 - Max I Sunog, Colin G. Magdamo, Marie-Laure Charpignon, Mark W. Albers:
Investigating Primary Care Indications to Improve the Quality of Electronic Health Record Data in Target Trial Emulation for Dementia. 610-648 - Julián Nicolás Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric Karl Oermann, Pranav Rajpurkar:
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation. 649-671 - Mengying Yan, Meng Xia, Wei Angel Huang, Chuan Hong, Benjamin Goldstein, Matthew M. Engelhard:
Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation. 672-690 - Muyan Jiang, Yunkai Zhang, Anil Aswani:
Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model. 691-707 - Yoanna Turura, Sam Freesun Friedman, Aurora Cremer, Mahnaz Maddah, Sana Tonekaboni:
The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations. 708-719 - Furong Jia, David A. Sontag, Monica Agrawal:
How does my language model understand clinical text? 720-743 - Kei Sen Fong, Mehul Motani:
Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data. 744-780 - Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga López, Krzysztof J. Geras, Farah E. Shamout:
MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans. 781-803 - Mahdi Moghaddami, Clayton Schubring, Mohammad-Reza Siadat:
Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences. 804-816 - Sujeong Im, Jungwoo Oh, Edward Choi:
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records. 817-843 - Qixuan Jin, Marzyeh Ghassemi:
A Study of Artifacts on Melanoma Classification under Diffusion-Based Perturbations. 844-861 - Leopoldo Julian Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout:
Uncertainty Quantification for Machine Learning in Healthcare: A Survey. 862-907 - Leisheng Yu, Yanxiao Cai, Minxing Zhang, Xia Hu:
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction. 908-924
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