Anticipating incomplete patient-reported outcomes in schizophrenia: a machine learning approach to predict the occurrence of missing data.
- DOI
- 10.1186/s12955-026-02511-1
- Published
- 2026 Mar 14
- Container
- Health and quality of life outcomes
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12955-026-02511-1,
title = {Anticipating incomplete patient-reported outcomes in schizophrenia: a machine learning approach to predict the occurrence of missing data.},
author = {Barbalat G and Plasse J and Chéreau-Boudet I and Gouache B and Legros-Lafarge E and Guillard-Bouhet N and Franck N},
year = {2026},
journal = {Health and quality of life outcomes},
doi = {10.1186/s12955-026-02511-1},
url = {https://doi.org/10.1186/s12955-026-02511-1}
}RIS
TY - JOUR TI - Anticipating incomplete patient-reported outcomes in schizophrenia: a machine learning approach to predict the occurrence of missing data. AU - Barbalat G AU - Plasse J AU - Chéreau-Boudet I AU - Gouache B AU - Legros-Lafarge E AU - Guillard-Bouhet N AU - Franck N PY - 2026 JO - Health and quality of life outcomes DO - 10.1186/s12955-026-02511-1 UR - https://doi.org/10.1186/s12955-026-02511-1 ER -
APA
G, B., J, P., I, C., B, G., E, L., N, G., & N, F. (2026). Anticipating incomplete patient-reported outcomes in schizophrenia: a machine learning approach to predict the occurrence of missing data.. Health and quality of life outcomes. https://doi.org/10.1186/s12955-026-02511-1
Source records
- pubmed · retrieved 2026-09-26T09:42:57.769Z