MLHC 2024

37 papers

A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets Fatemeh Tavakoli, D. B. Emerson, Sana Ayromlou, John Taylor Jewell, Amrit Krishnan, Yuchong Zhang, Amol Verma, Fahad Razak

A LUPI Distillation-Based Approach: Application to Predicting Proximal Junctional Kyphosis Yun Chao Lin, Andrea Clark-Sevilla, Rohith Ravindranath, Fthimnir Hassan, Justin Reyes, Joseph Lombardi, Lawrence G. Lenke, Ansaf Salleb-Aouissi

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models Hye Sun Yun, David Pogrebitskiy, Iain James Marshall, Byron C Wallace

Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification Abhishek Jaiswal, Nisheeth Srivastava

Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects Isabel Chien, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Richard E. Turner, Roshanthi K. Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon, Javier González Hernández

Bidirectional Generative Pre-Training for Improving Healthcare Time-Series Representation Learning Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li

CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT Mikkel Fruelund Odgaard, Kiril Vadimovic Klein, Martin Sillesen, Sanne Møller Thysen, Espen Jimenez-Solem, Mads Nielsen

Decision-Focused Model-Based Reinforcement Learning for Reward Transfer Abhishek Sharma, Sonali Parbhoo, Omer Gottesman, Finale Doshi-Velez

Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation Oishi Banerjee, Hong-Yu Zhou, Kay Wu, Subathra Adithan, Stephen Kwak, Pranav Rajpurkar

DOSSIER: Fact Checking in Electronic Health Records While Preserving Patient Privacy Haoran Zhang, Supriya Nagesh, Milind Shyani, Nina Mishra

Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting Michael Staniek, Marius Fracarolli, Michael Hagmann, Stefan Riezler

Event-Based Contrastive Learning for Medical Time Series Nassim Oufattole, Hyewon Jeong, Matthew B.A. McDermott, Aparna Balagopalan, Bryan Jangeesingh, Marzyeh Ghassemi, Collin Stultz

FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records Yuqing Wang, Malvika Pillai, Yun Zhao, Catherine M Curtin, Tina Hernandez-Boussard

FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores Alyssa Huang, Oishi Banerjee, Kay Wu, Eduardo Pontes Reis, Pranav Rajpurkar

G-Transformer: Counterfactual Outcome Prediction Under Dynamic and Time-Varying Treatment Regimes Hong Xiong, Feng Wu, Leon Deng, Megan Su, Li-wei H. Lehman

General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History Junu Kim, Chaeeun Shim, Bosco Seong Kyu Yang, Chami Im, Sung Yoon Lim, Han-Gil Jeong, Edward Choi

Leveraging LLMs for Multimodal Medical Time Series Analysis Nimeesha Chan, Felix Parker, William C Bennett, Tianyi Wu, Mung Yao Jia, James Fackler Md, Kimia Ghobadi

LLMSYN: Generating Synthetic Electronic Health Records Without Patient-Level Data Yijie Hao, Huan He, Joyce C. Ho

Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer Jamie Norris, Aswin Chari, Dorien Blooijs, Gerald K. Cooray, Karl Friston, Martin M Tisdall, Richard E Rosch

MALADE: Orchestration of LLM-Powered Agents with Retrieval Augmented Generation for Pharmacovigilance Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting Arnold Caleb Asiimwe, Didac Suris Coll-Vinent, Pranav Rajpurkar, Carl Vondrick

Minimax Risk Classifiers for Mislabeled Data: A Study on Patient Outcome Prediction Tasks Lucia Filippozzi, Santiago Mazuelas, Iñigo Urteaga

Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis Woojung Kim, Paul A. Jenkins, Christopher Yau

Multimodal Sleep Apnea Detection with Missing or Noisy Modalities Hamed Fayyaz, Niharika S. D’Souza, Rahmatollah Beheshti

Multinomial Belief Networks for Healthcare Data Hylke Cornelis Donker, Dorien Neijzen, Johann Jong, Gerton Lunter

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data Sujay Nagaraj, Andrew J Goodwin, Dmytro Lopushanskyy, Sebastian David Goodfellow, Danny Eytan, Hadrian Balaci, Robert Greer, Anand Jayarajan, Azadeh Assadi, Mjaye Leslie Mazwi, Anna Goldenberg

NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild Rishit Dagli, Atsuhiro Hibi, Rahul Krishnan, Pascal N Tyrrell

Network-Assisted Mediation Analysis with High-Dimensional Neuroimaging Mediators Baoyi Shi, Ying Liu, Shanghong Xie, Xi Zhu, Yuanjia Wang

PRECISe : Prototype-Reservation for Explainable Classification Under Imbalanced and Scarce-Data Settings Vaibhav Ganatra, Drishti Goel

Predicting Long-Term Allograft Survival in Liver Transplant Recipients Xiang Gao, Michael Cooper, Maryam Naghibzadeh, Amirhossein Azhie, Mamatha Bhat, Rahul Krishnan

Predictive Powered Inference for Healthcare; Relating Optical Coherence Tomography Scans to Multiple Sclerosis Disease Progression Jacob Schultz, Jerry L Prince, Bruno Michel Jedynak

Risk Stratification Through Class-Conditional Conformal Estimation: A Strategy That Improves the Rule-Out Performance of MACE in the Prehospital Setting Juan Jose Garcia, Nikhil Sarin, Rebecca R. Kitzmiller, Ashok Krishnamurthy, Jessica K. Zègre-Hemsey

Selective Fine-Tuning on LLM-Labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia

Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis Cécile Trottet, Manuel Schürch, Ahmed Allam, Imon Shoumitra Barua, Liubov Petelytska, Oliver Distler, Anna-Maria Hoffmann-Vold, Michael Krauthammer

The Data Addition Dilemma Judy Hanwen Shen, Inioluwa Deborah Raji, Irene Y. Chen

To Which Reference Class Do You Belong? Measuring Racial Fairness of Reference Classes with Normative Modeling Saige Rutherford, Thomas Wolfers, Charlotte Fraza, Nathaniel G. Harnett, Christian Beckmann, Henricus G. Ruhe, Andre Marquand

XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays Umaima Rahman, Abhishek Basu, Muhammad Uzair Khattak, Aniq Ur Rahman