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04/12/2021
Active learning for medical code assignment
Machine Learning (ML) is widely used to automatically extract meaningful...
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01/11/2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients
Machine Learning (ML) models typically require large-scale, balanced tra...
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03/14/2020
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Objective: Deriving disease subtypes from electronic health records (EHR...
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10/31/2019
Scaling structural learning with NO-BEARS to infer causal transcriptome networks
Constructing gene regulatory networks is a critical step in revealing di...
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10/01/2019
Enhancing high-content imaging for studying microtubule networks at large-scale
Given the crucial role of microtubules for cell survival, many researche...
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08/15/2019
