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Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study
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| Published in: | JMIR mHealth and uHealth |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1870388029850386434 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | JMIR mHealth and uHealth |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:102042 |
| institution | FRELIP |
| journal_source_facet | JMIR mHealth and uHealth |
| last_indexed | 2026-07-11T03:37:05.660Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning 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 | Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study |
| title_alt | Predicción semanal de episodios de consumo de alcohol de alto riesgo entre adultos jóvenes utilizando bioseñales portátiles y vulnerabilidades psicológicas: estudio prospectivo observacional de aprendizaje automático Prédiction une semaine à l'avance des épisodes de consommation d'alcool à haut risque chez les jeunes adultes à l'aide de biosignaux portables et de vulnérabilités psychologiques : étude prospective observationnelle d'apprentissage automatique Predição Semanal de Episódios de Consumo de Álcool de Alto Risco entre Jovens Adultos Usando Biossinais Vestíveis e Vulnerabilidades Psicológicas: Estudo Prospectivo Observacional de Aprendizado de Máquina |
| title_auth | Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study |
| title_es_txt | Predicción semanal de episodios de consumo de alcohol de alto riesgo entre adultos jóvenes utilizando bioseñales portátiles y vulnerabilidades psicológicas: estudio prospectivo observacional de aprendizaje automático |
| title_fr_txt | Prédiction une semaine à l'avance des épisodes de consommation d'alcool à haut risque chez les jeunes adultes à l'aide de biosignaux portables et de vulnérabilités psychologiques : étude prospective observationnelle d'apprentissage automatique |
| title_full | Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study |
| title_fullStr | Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study |
| title_full_unstemmed | Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study |
| title_pt_txt | Predição Semanal de Episódios de Consumo de Álcool de Alto Risco entre Jovens Adultos Usando Biossinais Vestíveis e Vulnerabilidades Psicológicas: Estudo Prospectivo Observacional de Aprendizado de Máquina |
| title_short | Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study |
| title_sort | week-ahead prediction of high-risk drinking episodes among young adults using wearable biosignals and psychological vulnerabilities: prospective observational machine learning study |
| topic | Computer Science General Computer Science |
| url | https://mhealth.jmir.org/2026/1/e88223 |