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Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study

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Published in:JMIR mHealth and uHealth
Format: Online Article RSS Article
Published: 2026
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container_title JMIR mHealth and uHealth
description
discipline_display Computer Science
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institution FRELIP
journal_source_facet JMIR mHealth and uHealth
last_indexed 2026-06-24T03:36:13.761Z
publishDate 2026
publishDateSort 2026
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spellingShingle Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study
title_alt Predicción de episodios afectivos en trastorno bipolar mediante análisis de control de procesos estadísticos de patrones de movilidad basados en GPS: estudio cuantitativo
Prédiction des épisodes affectifs dans le trouble bipolaire à l'aide de l'analyse de contrôle de processus statistique des schémas de mobilité GPS : étude quantitative
Prevendo Episódios Afetivos no Transtorno Bipolar Usando Análise de Controle Estatístico de Processo de Padrões de Mobilidade Baseados em GPS: Estudo Quantitativo
title_auth Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study
title_es_txt Predicción de episodios afectivos en trastorno bipolar mediante análisis de control de procesos estadísticos de patrones de movilidad basados en GPS: estudio cuantitativo
title_fr_txt Prédiction des épisodes affectifs dans le trouble bipolaire à l'aide de l'analyse de contrôle de processus statistique des schémas de mobilité GPS : étude quantitative
title_full Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study
title_fullStr Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study
title_full_unstemmed Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study
title_pt_txt Prevendo Episódios Afetivos no Transtorno Bipolar Usando Análise de Controle Estatístico de Processo de Padrões de Mobilidade Baseados em GPS: Estudo Quantitativo
title_short Predicting Affective Episodes in Bipolar Disorder Using Statistical Process Control Analysis of GPS-Based Mobility Patterns: Quantitative Study
title_sort predicting affective episodes in bipolar disorder using statistical process control analysis of gps-based mobility patterns: quantitative study
topic Computer Science
General
Computer Science
url https://mhealth.jmir.org/2026/1/e77272