Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning

Saved in:
Bibliographic Details
Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1870931558881296385
collection WordPress RSS
FRELIP Feed Integration
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:103664
institution FRELIP
journal_source_facet PLOS ONE
last_indexed 2026-07-17T03:36:15.279Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning
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 Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning
title_alt Predicción de la actividad de la enfermedad en espondilitis anquilosante mediante medidas de resultado reportadas por el paciente: Construcción de modelos de predicción basados en aprendizaje automático
Prédiction de l'activité de la spondylarthrite ankylosante via les mesures de résultats rapportés par les patients : Construction de modèles prédictifs basés sur l'apprentissage automatique
Predição da atividade da doença na espondilite anquilosante por meio de medidas de resultados relatados pelo paciente: Construção de modelos preditivos baseados em aprendizado de máquina
title_auth Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning
title_es_txt Predicción de la actividad de la enfermedad en espondilitis anquilosante mediante medidas de resultado reportadas por el paciente: Construcción de modelos de predicción basados en aprendizaje automático
title_fr_txt Prédiction de l'activité de la spondylarthrite ankylosante via les mesures de résultats rapportés par les patients : Construction de modèles prédictifs basés sur l'apprentissage automatique
title_full Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning
title_fullStr Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning
title_full_unstemmed Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning
title_pt_txt Predição da atividade da doença na espondilite anquilosante por meio de medidas de resultados relatados pelo paciente: Construção de modelos preditivos baseados em aprendizado de máquina
title_short Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning
title_sort predicting ankylosing spondylitis disease activity via patient-reported outcome measures: building prediction models based on machine learning
topic Open Access Journals
General
Open Access Journals
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0353486