Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools.
- DOI
- 10.1038/s41598-026-48729-3
- Published
- 2026 May 19
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-48729-3,
title = {Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools.},
author = {Barros AN and Roque FV and Paulino T and Schmidt A and Galvani F and Oliveira R and Marques LB and Dermeval D and Stefani AGM and Costa MSD and Queiroga EM and Oliveira E and Cechinel C and Vieira T},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-48729-3},
url = {https://doi.org/10.1038/s41598-026-48729-3}
}RIS
TY - JOUR TI - Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools. AU - Barros AN AU - Roque FV AU - Paulino T AU - Schmidt A AU - Galvani F AU - Oliveira R AU - Marques LB AU - Dermeval D AU - Stefani AGM AU - Costa MSD AU - Queiroga EM AU - Oliveira E AU - Cechinel C AU - Vieira T PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-48729-3 UR - https://doi.org/10.1038/s41598-026-48729-3 ER -
APA
AN, B., FV, R., T, P., A, S., F, G., R, O., LB, M., D, D., AGM, S., MSD, C., EM, Q., E, O., C, C., & T, V. (2026). Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools.. Scientific reports. https://doi.org/10.1038/s41598-026-48729-3
Source records
- pubmed · retrieved 2026-09-26T12:05:55.700Z