MLHC 2023

48 papers

Dialogue-Contextualized Re-ranking for Medical History-Taking

Jian Zhu, Ilya Valmianski, Anitha Kannan

Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data

Lida Zhang, Bobak J. Mortazavi

Uncovering the Varied Impact of Behavioral Change Messages on Population Groups

Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar

Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions

Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction

Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology

Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel

Characterizing personalized effects of family information on disease risk using graph representation learning

Sophie Wharrie, Zhiyu Yang, Andrea Ganna, Samuel Kaski

Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language Understanding

Yuqing Wang, Yun Zhao, Linda Petzold

Sample-Specific Debiasing for Better Image-Text Models

Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells, Seth Berkowitz

Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach

Mengqian Wang, Ilya Valmianski, Xavier Amatriain, Anitha Kannan

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs

Somin Wadhwa, Jay DeYoung, Benjamin Nye, Silvio Amir, Byron C. Wallace

Robust Semi-supervised Detection of Hands in Diverse Open Surgery Environments

Pranav Vaid, Serena Yeung, Anita Rau

Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes

Omer Sumer, Rebekah L. Waikel, Suzanna E. Ledgister Hanchard, Dat Duong, Peter Krawitz

Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision

Pranav Singh, Jacopo Cirrone

Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks

Xiaobin Shen, Jonathan Elmer, George H. Chen

Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models

Mercy Ranjit, Gopinath Ganapathy, Ranjit Manuel, Tanuja Ganu

Generating more faithful and consistent SOAP notes using attribute-specific parameters

Sanjana Ramprasad, Elisa Ferracane, Sai P. Selvaraj

EASL: A Framework for Designing, Implementing, and Evaluating ML Solutions in Clinical Healthcare Settings

Eric Prince, Todd C. Hankinson, Carsten Görg

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires

Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse

A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging

Jay Patel, Syed Rakin Ahmed, Ken Chang, Praveer Singh, Mishka Gidwani

TIER: Text-Image Entropy Regularization for Medical CLIP-style models

Anil Palepu, Andrew Beam

Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance

Erkin Otles, Brian T. Denton, Jenna Wiens

PrivECG: generating private ECG for end-to-end anonymization

Alexis Nolin-Lapalme, Robert Avram, Hussin Julie

ScoEHR: Generating Synthetic Electronic Health Records using Continuous-time Diffusion Models

Ahmed Ammar Naseer, Benjamin Walker, Christopher Landon, Andrew Ambrosy, Marat Fudim

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision

Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae Hyun Hwang

Coarse race data conceals disparities in clinical risk score performance

Rajiv Movva, Divya Shanmugam, Kaihua Hou, Priya Pathak, John Guttag

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention

Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi

DuETT: Dual Event Time Transformer for Electronic Health Records

Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi

RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction

Sameer Khanna, Adam Dejl, Kibo Yoon, Steven QH Truong, Hanh Duong

Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling

Mert Ketenci, Shreyas Bhave, Noemie Elhadad, Adler Perotte

Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes

Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara Lam, Nicholas Kurtzman

Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals

Hyewon Jeong, Collin M. Stultz, Marzyeh Ghassemi

Hawkes Process with Flexible Triggering Kernels

Yamac Isik, Paidamoyo Chapfuwa, Connor Davis, Ricardo Henao

Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning

Zhe Huang, Benjamin S. Wessler, Michael C. Hughes

Multi-view Modelling of Longitudinal Health Data for Improved Prognostication of Colorectal Cancer Recurrence

Danliang Ho, Mehul Motani

Contactless Oxygen Monitoring with Radio Waves and Gated Transformer

Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi

Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn)

Faris Gulamali, Ashwin Sawant, Ira Hofer, Matthew Levin, Alexander Charney

Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging

David Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl

CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data

Muhammad Hasan Ferdous, Uzma Hasan, Md Osman Gani

Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach

Hamed Fayyaz, Abigail Strang, Rahmatollah Beheshti

Privacy-preserving patient clustering for personalized federated learnings

Ahmed Elhussein, Gamze Gürsoy

Fair Survival Time Prediction via Mutual Information Minimization

Hyungrok Do, Yuxin Chang, Yoon Sang Cho, Padhraic Smyth, Judy Zhong

When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations

Rhys Compton, Lily Zhang, Aahlad Puli, Rajesh Ranganath

Typed Markers and Context for Clinical Temporal Relation Extraction

cheng cheng, Jeremy C. Weiss

EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships

David Calhas, Rui Henriques

Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks

Ali Behrouz, Margo Seltzer

Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk

Celia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read, Sonali Parbhoo

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization

Griffin Adams, Jason Zuckerg, Noemie Elhadad