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06/07/2023
M^3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method
In the data-driven artificial intelligence paradigm, models heavily rely...
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01/17/2023
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset
Objective: Peritoneal Dialysis (PD) is one of the most widely used life-...
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09/16/2022
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis
The COVID-19 pandemic has posed a heavy burden to the healthcare system ...
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07/25/2022
MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction
The COVID-19 pandemic has caused devastating economic and social disrupt...
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07/17/2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
Due to the characteristics of COVID-19, the epidemic develops rapidly an...
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06/15/2020
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
Clinical trials play important roles in drug development but often suffe...
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01/24/2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Deep learning has demonstrated success in health risk prediction especia...
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11/27/2019
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Predicting the patient's clinical outcome from the historical electronic...
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11/27/2019
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
Deep learning-based health status representation learning and clinical p...
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03/18/2019
