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Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost)
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| Published in: | PLOS ONE |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1871475277085802496 |
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| container_title | PLOS ONE |
| description | |
| discipline_display | Open Access Journals |
| discipline_facet | Open Access Journals |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:105095 |
| institution | FRELIP |
| journal_source_facet | PLOS ONE |
| last_indexed | 2026-07-23T03:38:25.527Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost) Open Access Journals General Open Access Journals |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Open Access Journals General Open Access Journals |
| subject_facet | Open Access Journals General Open Access Journals |
| title | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost) |
| title_alt | Predicción de factores que contribuyen a la intensidad del dolor en pacientes con dolor lumbar: un marco comparativo de aprendizaje automático (Random Forest versus XGBoost) Prédiction des facteurs contribuant à l'intensité de la douleur chez les patients lombalgiques : une comparaison de cadres d'apprentissage automatique (Random Forest versus XGBoost) Predição de fatores que contribuem para a Intensidade da Dor entre pacientes com dor lombar: Uma comparação de estruturas de aprendizado de máquina (Random Forest versus XGBoost) |
| title_auth | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost) |
| title_es_txt | Predicción de factores que contribuyen a la intensidad del dolor en pacientes con dolor lumbar: un marco comparativo de aprendizaje automático (Random Forest versus XGBoost) |
| title_fr_txt | Prédiction des facteurs contribuant à l'intensité de la douleur chez les patients lombalgiques : une comparaison de cadres d'apprentissage automatique (Random Forest versus XGBoost) |
| title_full | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost) |
| title_fullStr | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost) |
| title_full_unstemmed | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost) |
| title_pt_txt | Predição de fatores que contribuem para a Intensidade da Dor entre pacientes com dor lombar: Uma comparação de estruturas de aprendizado de máquina (Random Forest versus XGBoost) |
| title_short | Prediction of factors contributing to Pain Intensity among low back pain patients: A comparative machine learning frameworks (Random Forest versus XGBoost) |
| title_sort | prediction of factors contributing to pain intensity among low back pain patients: a comparative machine learning frameworks (random forest versus xgboost) |
| topic | Open Access Journals General Open Access Journals |
| url | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0354370 |