Development Individual STN DBS prediction model for PD

DOI

Development of a prediction model which differentiates between strong and weak response. Outcome classification is based on a holistic approach using UPDRS II, III and IV improvement. Clinical preoperative variables are used as predictors in a logistic regression predictive model. This data set describes the single-center cohort which is used to develop the model, and validated via cross-validation.

Identifier
DOI https://doi.org/10.34894/FUTGYT
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/FUTGYT
Provenance
Creator Habets, Jeroen (ORCID: 0000-0002-1015-093X); Janssen, Marcus; Herff, Christian ORCID logo
Publisher DataverseNL
Contributor Habets, Jeroen; Janssen, Marcus
Publication Year 2020
Rights CC0 Waiver; info:eu-repo/semantics/openAccess; https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact Habets, Jeroen (Maastricht University); Janssen, Marcus (Maastricht University)
Representation
Resource Type Dataset
Format application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 20816
Version 2.0
Discipline Life Sciences; Medicine