Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

Journal: Journal of the American Medical Informatics Association : JAMIA

PMID: 29718407

Abstract

OBJECTIVE: To develop a conceptual prediction model framework containing standardized steps and describe the corresponding open-source software developed to consistently implement the framework across computational environments and observational healthcare databases to enable model sharing and reproducibility.

Authors

Jenna M Reps

Janssen Research and Development, Raritan, NJ, USA.
Martijn J Schuemie

Janssen Research and Development, Raritan, NJ, USA.
Marc A Suchard

Department of Biomathematics, UCLA School of Medicine, CA, USA.
Patrick B Ryan

Janssen Research and Development, Raritan, NJ, USA.
Peter R Rijnbeek

Department of Medical Informatics, Erasmus University Medical Center, Rotterdam,The Netherlands.

Keywords

Adult Datasets as Topic Female Health Services Needs and Demand Humans Machine Learning Male Models, Theoretical Observation Observational Studies as Topic Prognosis Risk Assessment Software Treatment Outcome

External Resources

View on PubMed Access via DOI PubMed (29718407)

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data.

Abstract

Authors

Keywords

External Resources

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