Continuous vital sign monitoring for predicting hospital length of stay: a feasibility study in chronic obstructive pulmonary disease and chronic heart failure patients
Through a comprehensive feature-based analysis, we identified key patterns in HR, RR, and SpO₂ time series associated with hospitalization LOS in COPD and CHF patients and a compact set of features that can accurately predict LOS in COPD and CHF patients using only routinely collected data from the first 24 h of admission.
Authors
- Jordi de Batlle (ORCID: https://orcid.org/0000-0003-3500-6608)
- Gerard Torres (ORCID: https://orcid.org/0000-0002-1417-7320)
- Laia Utrillo (ORCID: https://orcid.org/0000-0002-0867-7767)
- Iván D. Benítez (ORCID: https://orcid.org/0000-0002-3558-5948)
- Irene Cuadrat
- Jessica González (ORCID: https://orcid.org/0000-0002-6847-5315)
- Natalia Varvará
- Anna Pérez‐Bosque (ORCID: https://orcid.org/0000-0003-2175-9684)
- Ferrán Barbé (ORCID: https://orcid.org/0000-0001-8599-5497)
- Ivan Juez-Garcia (ORCID: https://orcid.org/0009-0008-7103-4458)
Institutions
- Universitat de Lleida (ES)
- Hospital Universitari Arnau de Vilanova (ES)
- Hospital Universitari de Santa Maria (ES)
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
Publication Details
- Journal
- Scandinavian Journal of Trauma Resuscitation and Emergency Medicine
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1186/s13049-025-01458-4
- Citations
- 1
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.67