Ontology highlight
ABSTRACT: Background
Vital signs monitoring provides clinicians with real-time information regarding patients' current medical condition. We hypothesize that applying comprehensive analytical methods to underutilized, routinely collected vital signs data can yield valuable insights to support clinical decision-making. In this study, we present a novel approach for vital signs time series analysis applied to hospitalization length of stay (LOS) prediction in chronic obstructive pulmonary disease (COPD) and chronic heart failure (CHF) patients.Methods
Heart rate (HR), respiratory rate (RR) and peripheral oxygen saturation (SpO2) were continuously monitored during the first 24 h of hospital admission in COPD and CHF patients admitted to general, non-ICU hospital wards. The re
SUBMITTER: Juez-Garcia I
PROVIDER: S-EPMC12462186 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature