Papers
242 papers found
Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models
Carissa Wu, Sonali Parbhoo, Marton Havasi et al.
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images
Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity
Khaled Saab, Sarah Hooper, Mayee Chen et al.
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution
Yong Huang, Rui Cao, Amir Rahmani
Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding
Tanveer Syeda-Mahmood, Luyao Shi
Survival Mixture Density Networks
Xintian Han, Mark Goldstein, Rajesh Ranganath
Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture
Ebrahim Pourjafari, Navid Ziaei, Mohammad R. Rezaei et al.
SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction
Intae Moon, Stefan Groha, Alexander Gusev
Unified Auto Clinical Scoring (Uni-ACS) with Interpretable ML models
Anthony Li, Ming Lun Ong, Chien Wei Oei et al.
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman et al.
Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases
Aniek F. Markus, Peter R. Rijnbeek, Jenna M. Reps
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction
Inigo Urteaga, Kathy Li, Amanda Shea et al.
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms
Zhe Huang, Gary Long, Benjamin Wessler et al.
An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention
Yeachan Kim, Bonggun Shin
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories
Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen et al.
Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer’s Disease classification
Sarah C. Brüningk, Felix Hensel, Louis P. Lukas et al.
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
Emma Chen, Andy Kim, Rayan Krishnan et al.
Deep Cox Mixtures for Survival Regression
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh et al.
Deep Generative Analysis for Task-Based Functional MRI Experiments
Daniela de Albuquerque, Jack Goffinet, Rachael Wright et al.
Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels
Brian Chen, Golara Javadi, Amoon Jamzad et al.
Directing Human Attention in Event Localization for Clinical Timeline Creation
Jason Zhao, Monica Agrawal, Pedram Razavi et al.
Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions
Preston Putzel, Hyungrok Do, Alex Boyd et al.
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
Siddharth Biswal, Soumya Ghosh, Jon Duke et al.
Hierarchical Information Criterion for Variable Abstraction
Mark Mirtchouk, Bharat Srikishan, Samantha Kleinberg
Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach
Ardvan Saeedi, Payman Yadollahpour, Sumedha Singla et al.