Processed ENDES 2007–2025 dataset for childhood stunting prediction in Peru
Analysis dataset used in the article "Machine Learning Model for Predicting the Risk of Childhood Stunting in Peru". It contains one row per child under five years of age with valid anthropometry (n = 304,271) from the 2007–2025 rounds of Peru's Demographic and Family Health Survey (ENDES), with 79...
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| Autores principales: | , , , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | inglés |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) Registro tomado de OpenAlex, que lo atribuye a la UPeU. Aún no está en el CRIS de la universidad. |
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| _version_ | 1881909473568620544 |
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| author | Abel Is-Boset Guevara-Huasco Zulin Pamela Vallejos-Cotrina Verónica Lisseth Vergara-Rojas Ferdinand Pineda Nemías Saboya |
| author_browse | Abel Is-Boset Guevara-Huasco Ferdinand Pineda Nemías Saboya Verónica Lisseth Vergara-Rojas Zulin Pamela Vallejos-Cotrina |
| author_facet | Abel Is-Boset Guevara-Huasco Zulin Pamela Vallejos-Cotrina Verónica Lisseth Vergara-Rojas Ferdinand Pineda Nemías Saboya |
| author_sort | Abel Is-Boset Guevara-Huasco |
| collection | Producción científica |
| description | Analysis dataset used in the article "Machine Learning Model for Predicting the Risk of Childhood Stunting in Peru". It contains one row per child under five years of age with valid anthropometry (n = 304,271) from the 2007–2025 rounds of Peru's Demographic and Family Health Survey (ENDES), with 79 harmonized variables, the stunting outcome (height-for-age Z-score below −2 SD) and the survey expansion factor. It contains no household or person identifiers and no geographic coordinates; the finest geographic level is the department. Source: Instituto Nacional de Estadística e Informática (INEI), https://proyectos.inei.gob.pe/microdatos/. The README describes the variables, preprocessing and known issues; data_dictionary.csv lists every variable. |
| format | Dataset |
| fuente_str | OpenAlex |
| fuente_tipo_str_mv | OpenAlex|Dataset |
| id | openalex:W7225884623 |
| institution | UPeU |
| language | English |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| spelling | openalex:W7225884623Processed ENDES 2007–2025 dataset for childhood stunting prediction in PeruAbel Is-Boset Guevara-HuascoZulin Pamela Vallejos-CotrinaVerónica Lisseth Vergara-RojasFerdinand PinedaNemías Saboyachild stuntingchildren under fiveanthropometryheight-for-age z-scorePerumachine learningchild nutritionChild Nutrition and Water AccessPublic Health and NutritionArtificial Intelligence in HealthcareAnalysis dataset used in the article "Machine Learning Model for Predicting the Risk of Childhood Stunting in Peru". It contains one row per child under five years of age with valid anthropometry (n = 304,271) from the 2007–2025 rounds of Peru's Demographic and Family Health Survey (ENDES), with 79 harmonized variables, the stunting outcome (height-for-age Z-score below −2 SD) and the survey expansion factor. It contains no household or person identifiers and no geographic coordinates; the finest geographic level is the department. Source: Instituto Nacional de Estadística e Informática (INEI), https://proyectos.inei.gob.pe/microdatos/. The README describes the variables, preprocessing and known issues; data_dictionary.csv lists every variable.Datasethttps://doi.org/10.5281/zenodo.24169027W7225884623enZenodo (CERN European Organization for Nuclear Research)2026-11-12 |
| spellingShingle | child stunting children under five anthropometry height-for-age z-score Peru machine learning child nutrition Child Nutrition and Water Access Public Health and Nutrition Artificial Intelligence in Healthcare Abel Is-Boset Guevara-Huasco Zulin Pamela Vallejos-Cotrina Verónica Lisseth Vergara-Rojas Ferdinand Pineda Nemías Saboya Processed ENDES 2007–2025 dataset for childhood stunting prediction in Peru |
| title | Processed ENDES 2007–2025 dataset for childhood stunting prediction in Peru |
| title_full | Processed ENDES 2007–2025 dataset for childhood stunting prediction in Peru |
| title_fullStr | Processed ENDES 2007–2025 dataset for childhood stunting prediction in Peru |
| title_full_unstemmed | Processed ENDES 2007–2025 dataset for childhood stunting prediction in Peru |
| title_short | Processed ENDES 2007–2025 dataset for childhood stunting prediction in Peru |
| title_sort | processed endes 2007 2025 dataset for childhood stunting prediction in peru |
| topic | child stunting children under five anthropometry height-for-age z-score Peru machine learning child nutrition Child Nutrition and Water Access Public Health and Nutrition Artificial Intelligence in Healthcare |
| topic_facet | child stunting children under five anthropometry height-for-age z-score Peru machine learning child nutrition Child Nutrition and Water Access Public Health and Nutrition Artificial Intelligence in Healthcare |
| url | https://doi.org/10.5281/zenodo.24169027 |
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