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08/21/2023
Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients
Machine learning (ML) models are increasingly pivotal in automating clin...
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08/05/2023
Meta-learning in healthcare: A survey
As a subset of machine learning, meta-learning, or learning to learn, ai...
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05/16/2023
Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer
A novel problem of improving causal effect estimation accuracy with the ...
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01/26/2023
Causal Graph Discovery from Self and Mutually Exciting Time Series
We present a generalized linear structural causal model, coupled with a ...
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12/13/2022
ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data
Sepsis is a deadly condition affecting many patients in the hospital. Re...
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10/26/2022
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
Machine Learning (ML) research has focused on maximizing the accuracy of...
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10/24/2022
Online Critical-State Detection of Sepsis Among ICU Patients using Jensen-Shannon Divergence
Sepsis is a severe medical condition caused by a dysregulated host respo...
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09/09/2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Multivariate Hawkes Processes
Modern health care systems are conducting continuous, automated surveill...
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06/04/2021
Inferring Granger Causality from Irregularly Sampled Time Series
Continuous, automated surveillance systems that incorporate machine lear...
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09/14/2020
