Thomas R. Campion Jr.

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Joseph Kabariti

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Publications

2021
[j13]
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Edward J. Schenck, Katherine L. Hoffman, Marika M. Cusick, Joseph Kabariti, Evan Sholle, Thomas R. Campion Jr.:
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data. J. Biomed. Informatics 118: 103789 (2021)
[c28]
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Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak:
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA 2021
2020
[j12]
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  - journals/aci/CusickSDKCC20
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Marika M. Cusick, Evan Sholle, Marcos Davila, Joseph Kabariti, Curtis L. Cole, Thomas R. Campion Jr.:
A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System. Appl. Clin. Inform. 11(05): 785-791 (2020)
2019
[c20]
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Evan Sholle, Orrin Belden, Jaclyn Rosenzweig, Jennifer Levine, Joseph Kabariti, Thomas R. Campion Jr., Jyotishman Pathak:
Validation of a Computable Phenotype for Site-Specific Cancer Treatment. AMIA 2019
2018
[j7]
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  - journals/jbi/SholleDKSVCC18
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Evan Sholle, Marcos Davila, Joseph Kabariti, Julian Z. Schwartz, Vinay I. Varughese, Curtis L. Cole, Thomas R. Campion Jr.:
A scalable method for supporting multiple patient cohort discovery projects using i2b2. J. Biomed. Informatics 84: 179-183 (2018)
2017
[c15]
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Evan Sholle, Joseph Kabariti, Stephen B. Johnson, John P. Leonard, Jyotishman Pathak, Vinay I. Varughese, Curtis L. Cole, Thomas R. Campion Jr.:
Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers. AMIA 2017

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