The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models

Ross D. Williams; Sicco den Otter; Jenna M. Reps; Peter R. Rijnbeek

doi:10.3233/SHTI230085

The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models

Ross D. Williams^*
, Sicco den Otter
, Jenna M. Reps
, Peter R. Rijnbeek

^*Corresponding author for this work

Medical Informatics

Erasmus University Rotterdam

Research output: Contribution to journal › Article › Academic › peer-review

1 Citation (Scopus)

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Abstract

The Deposit, Evaluate and Lookup Predictive Healthcare Information (DELPHI) library provides a centralised location for the depositing, exploring and analysing of patient-level prediction models that are compatible with data mapped to the observational medical outcomes partnership common data model.

Original language	English
Pages (from-to)	139-140
Number of pages	2
Journal	Studies in Health Technology and Informatics
Volume	302
DOIs	https://doi.org/10.3233/SHTI230085
Publication status	Published - 18 May 2023

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Publisher Copyright:
© 2023 European Federation for Medical Informatics (EFMI) and IOS Press.

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The DELPHI Library Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction ModelsFinal published version, 196 KBLicence: CC BY-NC

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title = "The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models",

abstract = "The Deposit, Evaluate and Lookup Predictive Healthcare Information (DELPHI) library provides a centralised location for the depositing, exploring and analysing of patient-level prediction models that are compatible with data mapped to the observational medical outcomes partnership common data model.",

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The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models

Abstract

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