Papers
242 papers found
In-depth Benchmarking of Deep Neural Network Architectures for ECG Diagnosis
Naoki Nonaka, Jun Seita
Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss
Haiqi Wei, Frank Rudzicz, David Fleet et al.
Knowledge Graph-based Question Answering with Electronic Health Records
Junwoo Park, Youngwoo Cho, Haneol Lee et al.
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar et al.
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta, Namit Katariya, Xavier Amatriain et al.
MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health
Hiba Ahsan, Emmie Ohnuki, Avijit Mitra et al.
Mind the Performance Gap: Examining Dataset Shift During Prospective Validation
Erkin Otles, Jeeheh Oh, Benjamin Li et al.
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
Andrew C. Miller, Leon A. Gatys, Joseph Futoma et al.
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Shengpu Tang, Jenna Wiens
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Nasir Hayat, Hazem Lashen, Farah E. Shamout
Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data
Shreyas Bhave, Adler Perotte
Power Constrained Bandits
Jiayu Yao, Emma Brunskill, Weiwei Pan et al.
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines
Byung-Hak Kim, Varun Ganapathi
Risk score learning for COVID-19 contact tracing apps
Kevin Murphy, Abhishek Kumar, Stylianos Serghiou
Stool Image Analysis for Precision Health Monitoring by Smart Toilets
Jin Zhou, Nick DeCapite, Jackson McNabb et al.
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
Zhiliang Wu, Yinchong Yang, Peter A. Fashing et al.
Understanding Clinical Collaborations Through Federated Classifier Selection
Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky et al.
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model
Riddhiman Adib, Paul Griffin, Sheikh Iqbal Ahamed et al.
Addressing Sample Size Challenges in Linked Data Through Data Fusion
Srikesh Arunajadai, Lulu Lee, Tom Haskell
An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions
Stefan Hegselmann, Thomas Volkert, Hendrik Ohlenburg et al.
Attention-Based Network for Weak Labels in Neonatal Seizure Detection
Dmitry Yu. Isaev, Dmitry Tchapyjnikov, C. Michael Cotten et al.
Attentive Adversarial Network for Large-Scale Sleep Staging
Samaneh Nasiri, Gari D. Clifford
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output
Matthew B.A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng et al.
Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration
Shems Saleh, William Boag, Lauren Erdman et al.
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data
Hadia Hameed, Samantha Kleinberg