Implementing a pharmacovigilance framework using data from electronic medical records. - Victor M. Castro; Vivian S. Gainer; Christopher Herrick; Shawn N. Murphy; Wannapa Kay Mahamaneerat (AMIA, 2012)

Amassing Pediatric Brain MRI's to Understand "Normal" using Mi2b2. - Shawn N. Murphy; Christopher Herrick; Victor M. Castro; Randy L. Gollub; Nathaniel Reynolds; Patricia Ellen Grant (AMIA, 2013)

Integrating Information from Unstructured Text with Structured Clinical Data from an Electronic Medical Record to Improve Patient Cohort Identification. - Victor M. Castro; Sergey Goryachev; Christopher Herrick; Vivian S. Gainer; Martin Rees; Shawn N. Murphy (AMIA, 2014)

Evaluation of matched control algorithms in EHR-based phenotyping studies: A case study of inflammatory bowel disease comorbidities. - Victor M. Castro; W. Kay Apperson; Vivian S. Gainer; Ashwin N. Ananthakrishnan; Alyssa P. Goodson; Taowei David Wang; Christopher D. Herrick; Shawn N. Murphy (J. Biomed. Informatics, 2014)

Stratification of Risk for Fall Resulting in Hospital Readmission through Medication Side Effects Profiles. - Thomas H. McCoy Jr.; Victor M. Castro; Roy H. Perlis (AMIA, 2015)

Computable Phenotypes enabled by the i2b2 Validation Platform. - Shawn N. Murphy; Vivian S. Gainer; Victor M. Castro; Alyssa P. Goodson; Lori C. Phillips; Sheng Yu 002; Tianxi Cai (AMIA, 2015)

Building Better Timeline Interactions for Patient Chart Reviews. - Heekyong Park; Taowei David Wang; Vivian S. Gainer; Victor M. Castro; Shawn N. Murphy (AMIA, 2017)

Applying Computed Phenotypes Derived from Electronic Health Records in the Partners HealthCare Biobank Using i2b2. - Victor M. Castro; Nich Wattanasin; Vivian S. Gainer; Bhaswati Ghosh; Shawn N. Murphy (CRI, 2017)

High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. - Katherine P. Liao; Jiehuan Sun; Tianrun A. Cai; Nicholas B. Link; Chuan Hong; Jie Huang 030; Jennifer E. Huffman; Jessica L. Gronsbell; Lauren Costa; Victor M. Castro; Vivian S. Gainer; Shawn N. Murphy; et al. (AMIA, 2018)

sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record. - Yuri Ahuja; Doudou Zhou; Zeling He; Jiehuan Sun; Victor M. Castro; Vivian S. Gainer; Shawn N. Murphy; Chuan Hong; Tianxi Cai (AMIA, 2019)

High-throughput multimodal automated phenotyping (MAP) with application to PheWAS. - Katherine P. Liao; Jiehuan Sun; Tianrun A. Cai; Nicholas B. Link; Chuan Hong; Jie Huang 030; Jennifer E. Huffman; Jessica L. Gronsbell; Yichi Zhang; Yuk-Lam Ho; Victor M. Castro; Vivian S. Gainer; et al. (J. Am. Medical Informatics Assoc., 2019)

Generative Transfer Learning for Measuring Plausibility of EHR Diagnosis Records Over Time. - Hossein Estiri; Sebastien Vasey; Jeffrey G. Klann; Victor M. Castro; Shawn N. Murphy (AMIA, 2020)

High-throughput Phenotyping with EHR Sequences. - Shawn N. Murphy; Hossein Estiri; Zachary H. Strasser; Kavishwar B. Wagholikar; Victor M. Castro (AMIA, 2020)

HistoriView: An Interactive and Scalable Visual Exploratory Plugin for Longitudinal Patient Data Review. - Heekyong Park; Taowei David Wang; Vivian S. Gainer; Victor M. Castro; Nich Wattanasin; Shawn N. Murphy (AMIA, 2020)

sureLDA: A multidisease automated phenotyping method for the electronic health record. - Yuri Ahuja; Doudou Zhou; Zeling He; Jiehuan Sun; Victor M. Castro; Vivian S. Gainer; Shawn N. Murphy; Chuan Hong; Tianxi Cai (J. Am. Medical Informatics Assoc., 2020)

Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. - Hossein Estiri; Zachary H. Strasser; Jeffrey G. Klann; Thomas H. McCoy Jr.; Kavishwar B. Wagholikar; Sebastien Vasey; Victor M. Castro; Marykate Murphy; Shawn N. Murphy (Patterns, 2020)

Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network. - Jennifer A. Pacheco; Luke V. Rasmussen; Ken Wiley; Thomas N. Person; David J. Cronkite; Sunghwan Sohn; Shawn N. Murphy; Justin H. Gundelach; Vivian S. Gainer; Victor M. Castro; Cong Liu 020; Todd Lingren; et al. (AMIA, 2021)

A Novel Data Portal to Enable COVID-19 Data Integration and Analysis. - Nich Wattanasin; Victor M. Castro; Vivian S. Gainer; Barbara Benoit; Andrew Cagan; Reeta Metta; Shawn N. Murphy (AMIA, 2021)

Temporally informed random forests for suicide risk prediction. - Ilkin Bayramli; Victor M. Castro; Yuval Barak-Corren; Emily M. Madsen; Matthew K. Nock; Jordan W. Smoller; Ben Y. Reis (J. Am. Medical Informatics Assoc., 2021)

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. - Jeffrey G. Klann; Hossein Estiri; Griffin M. Weber; Bertrand Moal; Paul Avillach; Chuan Hong; Amelia L. M. Tan; Brett K. Beaulieu-Jones; Victor M. Castro; Thomas Maulhardt; Alon Geva; Alberto Malovini; et al. (J. Am. Medical Informatics Assoc., 2021)

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data. - Chuan Hong; Everett Neil Rush; Molei Liu; Doudou Zhou; Jiehuan Sun; Aaron Sonabend W.; Victor M. Castro; Petra Schubert; Vidul Ayakulangara Panickan; Tianrun Cai; Lauren Costa; Zeling He; et al. (npj Digit. Medicine, 2021)

The Mass General Brigham Biobank Portal: an i2b2-based data repository linking disparate and high-dimensional patient data to support multimodal analytics. - Victor M. Castro; Vivian S. Gainer; Nich Wattanasin; Barbara Benoit; Andrew Cagan; Bhaswati Ghosh; Sergey Goryachev; Reeta Metta; Heekyong Park; Taowei David Wang; Michael Mendis; Martin Rees; et al. (J. Am. Medical Informatics Assoc., 2022)

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization. - Doudou Zhou; Ziming Gan; Xu Shi; Alina Patwari; Everett Neil Rush; Clara-Lea Bonzel; Vidul Ayakulangara Panickan; Chuan Hong; Yuk-Lam Ho; Tianrun Cai; Lauren Costa; Xiaoou Li; et al. (J. Biomed. Informatics, 2022)

Predictive structured-unstructured interactions in EHR models: A case study of suicide prediction. - Ilkin Bayramli; Victor M. Castro; Yuval Barak-Corren; Emily M. Madsen; Matthew K. Nock; Jordan W. Smoller; Ben Y. Reis (npj Digit. Medicine, 2022)

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. - Betina Idnay; Zihan Xu; William G. Adams; Mohammad Adibuzzaman; Nicholas R. Anderson 001; Neil Bahroos; Douglas S. Bell; Cody Bumgardner; Thomas R. Campion Jr.; Victor M. Castro; James J. Cimino; I. Glenn Cohen; et al. (CoRR, 2024)

Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records. - Isabelle-Emmanuella Nogues; Jun Wen; Yihan Zhao; Clara-Lea Bonzel; Victor M. Castro; Yucong Lin; Shike Xu; Jue Hou; Tianxi Cai (J. Biomed. Informatics, 2024)

LATTE: Label-efficient incident phenotyping from longitudinal electronic health records. - Jun Wen; Jue Hou; Clara-Lea Bonzel; Yihan Zhao; Victor M. Castro; Vivian S. Gainer; Dana Weisenfeld; Tianrun Cai; Yuk-Lam Ho; Vidul Ayakulangara Panickan; Lauren Costa; Chuan Hong; et al. (Patterns, 2024)

Comparing patient-reported symptoms and structured clinician documentation in electronic health records. - Victor M. Castro; Vivian S. Gainer; Danielle M. Crookes; Shawn N. Murphy; Justin Manjourides (J. Am. Medical Informatics Assoc., 2025)