Walter F. Stewart

According to our database1, Walter F. Stewart authored at least 34 papers between 2007 and 2021.

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Bibliography

2021
Imputation of missing values for electronic health record laboratory data.
npj Digit. Medicine, 2021

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
Proceedings of the Machine Learning for Healthcare Conference, 2021

2020
Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work.
J. Biomed. Informatics, 2020

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
CoRR, 2020

TASTE: temporal and static tensor factorization for phenotyping electronic health records.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019
Predicting need for advanced illness or palliative care in a primary care population using electronic health record data.
J. Biomed. Informatics, 2019

Longitudinal Adversarial Attack on Electronic Health Records Data.
Proceedings of the World Wide Web Conference, 2019

2018
Clustervision: Visual Supervision of Unsupervised Clustering.
IEEE Trans. Vis. Comput. Graph., 2018

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
The electronic health record audit file: the patient is waiting.
J. Am. Medical Informatics Assoc., 2017

Using recurrent neural network models for early detection of heart failure onset.
J. Am. Medical Informatics Assoc., 2017

Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
CoRR, 2017

Causal Regularization.
CoRR, 2017

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks.
Proceedings of the Machine Learning for Health Care Conference, 2017

LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

GRAM: Graph-based Attention Model for Healthcare Representation Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction.
CoRR, 2016

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism.
CoRR, 2016

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks.
Proceedings of the 1st Machine Learning in Health Care, 2016

Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care.
Proceedings of the Summit on Clinical Research Informatics, 2016

Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records.
Proceedings of the AMIA 2016, 2016

2015
Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge?
Proceedings of the AMIA 2015, 2015

Electronic Health Record Audit Logs: An Alternative Approach to Workflow Analysis.
Proceedings of the AMIA 2015, 2015

2014
Clinical Utility of Machine Learning and Longitudinal EHR Data.
Proceedings of the Machine Learning in Healthcare Informatics, 2014

PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.
J. Biomed. Informatics, 2014

Limestone: High-throughput candidate phenotype generation via tensor factorization.
J. Biomed. Informatics, 2014

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.
Int. J. Medical Informatics, 2014

2013
Beyond the threshold: real-time use of evidence in practice.
BMC Medical Informatics Decis. Mak., 2013

2012
Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records.
Proceedings of the AMIA 2012, 2012

2008
Viewpoint Paper: EHR Safety: The Way Forward to Safe and Effective Systems.
J. Am. Medical Informatics Assoc., 2008

2007
Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure.
NeuroImage, 2007


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