Victor M. Castro

Orcid: 0000-0001-7390-6354

According to our database1, Victor M. Castro authored at least 23 papers between 2012 and 2024.

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Bibliography

2024
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.
Patterns, January, 2024

2022
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.
J. Biomed. Informatics, 2022

The Mass General Brigham Biobank Portal: an i2b2-based data repository linking disparate and high-dimensional patient data to support multimodal analytics.
J. Am. Medical Informatics Assoc., 2022

2021
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.
npj Digit. Medicine, 2021

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
J. Am. Medical Informatics Assoc., 2021

A Novel Data Portal to Enable COVID-19 Data Integration and Analysis.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations.
Patterns, 2020

sureLDA: A multidisease automated phenotyping method for the electronic health record.
J. Am. Medical Informatics Assoc., 2020

HistoriView: An Interactive and Scalable Visual Exploratory Plugin for Longitudinal Patient Data Review.
Proceedings of the AMIA 2020, 2020

High-throughput Phenotyping with EHR Sequences.
Proceedings of the AMIA 2020, 2020

Generative Transfer Learning for Measuring Plausibility of EHR Diagnosis Records Over Time.
Proceedings of the AMIA 2020, 2020

2019
High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.
J. Am. Medical Informatics Assoc., 2019

sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record.
Proceedings of the AMIA 2019, 2019

2018
High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS.
Proceedings of the AMIA 2018, 2018

2017
Applying Computed Phenotypes Derived from Electronic Health Records in the Partners HealthCare Biobank Using i2b2.
Proceedings of the Summit on Clinical Research Informatics, 2017

Building Better Timeline Interactions for Patient Chart Reviews.
Proceedings of the AMIA 2017, 2017

2015
Computable Phenotypes enabled by the i2b2 Validation Platform.
Proceedings of the AMIA 2015, 2015

Stratification of Risk for Fall Resulting in Hospital Readmission through Medication Side Effects Profiles.
Proceedings of the AMIA 2015, 2015

2014
Evaluation of matched control algorithms in EHR-based phenotyping studies: A case study of inflammatory bowel disease comorbidities.
J. Biomed. Informatics, 2014

Integrating Information from Unstructured Text with Structured Clinical Data from an Electronic Medical Record to Improve Patient Cohort Identification.
Proceedings of the AMIA 2014, 2014

2013
Amassing Pediatric Brain MRI's to Understand "Normal" using Mi2b2.
Proceedings of the AMIA 2013, 2013

2012
Implementing a pharmacovigilance framework using data from electronic medical records.
Proceedings of the AMIA 2012, 2012


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