Victor M. Castro
Orcid: 0000-0001-7390-6354
According to our database1,
Victor M. Castro
authored at least 25 papers
between 2012 and 2024.
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Bibliography
2024
LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.
Patterns, January, 2024
Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.
J. Biomed. Informatics, 2024
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.
CoRR, 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
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
Generative Transfer Learning for Measuring Plausibility of EHR Diagnosis Records Over Time.
Proceedings of the AMIA 2020, 2020
2019
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
Proceedings of the AMIA 2017, 2017
2015
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
Proceedings of the AMIA 2013, 2013
2012
Implementing a pharmacovigilance framework using data from electronic medical records.
Proceedings of the AMIA 2012, 2012