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Merge pull request #483 from OHDSI/update_maintainer
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update maintainer
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jreps authored Oct 10, 2024
2 parents 00c07ef + d516686 commit 1f30eaa
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9 changes: 4 additions & 5 deletions DESCRIPTION
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Title: Developing patient level prediction using data in the OMOP Common Data
Model
Version: 6.3.9.9999
Date: 2024-08-21
Date: 2024-10-10
Authors@R: c(
person("Jenna", "Reps", email = "jreps@its.jnj.com", role = c("aut", "cre")),
person("Egill", "Fridgeirsson", email = "e.fridgeirsson@erasmusmc.nl", role = c("aut", "cre")),
person("Jenna", "Reps", email = "jreps@its.jnj.com", role = c("aut")),
person("Martijn", "Schuemie", role = c("aut")),
person("Marc", "Suchard", role = c("aut")),
person("Patrick", "Ryan", role = c("aut")),
person("Peter", "Rijnbeek", role = c("aut")),
person("Egill", "Fridgeirsson", role = c("aut"))
person("Peter", "Rijnbeek", role = c("aut"))
)
Maintainer: Jenna Reps <jreps@its.jnj.com>
Description: A user friendly way to create patient level prediction models using the OMOP common data model. Given a
cohort of interest and an outcome of interest, the package can use data in the
OMOP Common Data Model to build a large set of features. These features can then
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5 changes: 5 additions & 0 deletions NEWS.md
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PatientLevelPrediction develop
======================
- Official maintainer updated to Egill Fridgeirsson


PatientLevelPrediction 6.3.9
======================
- Hotfix adding schema to DatabaseConnector::getTableNames when creating results tables
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4 changes: 2 additions & 2 deletions README.md
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# Acknowledgements

- The package is maintained by Jenna Reps and Peter Rijnbeek and has been developed with major contributions from Martijn Schuemie, Patrick Ryan, and Marc Suchard.
- We like to thank the following persons for their contributions to the package: Seng Chan You, Ross Williams, Henrik John, Xiaoyong Pan, James Wiggins, Egill Fridgeirsson, Alex Rekkas
- The package is maintained by Egill Fridgeirsson and Jenna Reps and has been developed with major contributions from Peter Rijnbeek, Martijn Schuemie, Patrick Ryan, and Marc Suchard.
- We like to thank the following persons for their contributions to the package: Seng Chan You, Ross Williams, Henrik John, Xiaoyong Pan, James Wiggins, Alex Rekkas
- This project is supported in part through the National Science Foundation grant IIS 1251151.

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