Matches in SemOpenAlex for { <https://semopenalex.org/work/W4248905945> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W4248905945 abstract "Abstract Background. Even brief hypotension is associated with increased morbidity and mortality. We developed a machine learning model to predict the initial hypotension event among intensive care unit (ICU) patients, and designed an alert system for bedside implementation. Materials and Methods. From the Medical Information Mart for Intensive Care III (MIMIC-3) dataset minute-by-minute vital signs were extracted. A hypotension event was defined as at least 5 measurements within a 10-minute period of systolic blood pressure ≤ 90 mmHg and mean arterial pressure ≤ 60 mmHg. A random forest (RF) classifier was used to predict hypotension, and performance was measured with area under the receiver operating characteristic curve (AUROC) and area under the precision recall curve (AUPRC). Hypotension alerts were generated using risk score thresholds, then a stacked RF model and a lock-out time were applied for real-life implementation. Results. We identified 1307 subjects (1580 ICU stays) as the case (hypotension) group and 1619 subjects (2279 ICU stays) as the control group. The RF model showed AUROC of 0.93 and 0.88 at 15 and 60 minutes respectively before hypotension, and AUPRC of 0.77 at 60 minutes before. Risk score trajectories revealed 80% and > 60% of cases predicted at 15 and 60 minutes before the hypotension, respectively. The stacked model with 15-minute lock-out produced on average 0.79 alerts/subject/hour (sensitivity 92.4%). Conclusion. Clinically significant hypotension events in the ICU can be predicted at least 1 hour before the initial hypotension episode. Developing a high-sensitive and reliable practical alert system is feasible, with low rate of alerts." @default.
- W4248905945 created "2022-05-12" @default.
- W4248905945 creator A5039842846 @default.
- W4248905945 creator A5044497958 @default.
- W4248905945 creator A5044928901 @default.
- W4248905945 creator A5053558278 @default.
- W4248905945 creator A5072167797 @default.
- W4248905945 creator A5082272833 @default.
- W4248905945 date "2020-07-22" @default.
- W4248905945 modified "2023-09-28" @default.
- W4248905945 title "Prediction of Hypotension Events with Physiologic Vital Sign Signatures in The Intensive Care Unit" @default.
- W4248905945 doi "https://doi.org/10.21203/rs.3.rs-45873/v1" @default.
- W4248905945 hasPublicationYear "2020" @default.
- W4248905945 type Work @default.
- W4248905945 citedByCount "0" @default.
- W4248905945 crossrefType "posted-content" @default.
- W4248905945 hasAuthorship W4248905945A5039842846 @default.
- W4248905945 hasAuthorship W4248905945A5044497958 @default.
- W4248905945 hasAuthorship W4248905945A5044928901 @default.
- W4248905945 hasAuthorship W4248905945A5053558278 @default.
- W4248905945 hasAuthorship W4248905945A5072167797 @default.
- W4248905945 hasAuthorship W4248905945A5082272833 @default.
- W4248905945 hasConcept C106131492 @default.
- W4248905945 hasConcept C116390426 @default.
- W4248905945 hasConcept C126322002 @default.
- W4248905945 hasConcept C177713679 @default.
- W4248905945 hasConcept C194828623 @default.
- W4248905945 hasConcept C2776376669 @default.
- W4248905945 hasConcept C2776890885 @default.
- W4248905945 hasConcept C2777953023 @default.
- W4248905945 hasConcept C2987404301 @default.
- W4248905945 hasConcept C31972630 @default.
- W4248905945 hasConcept C41008148 @default.
- W4248905945 hasConcept C42219234 @default.
- W4248905945 hasConcept C58471807 @default.
- W4248905945 hasConcept C71924100 @default.
- W4248905945 hasConcept C84393581 @default.
- W4248905945 hasConceptScore W4248905945C106131492 @default.
- W4248905945 hasConceptScore W4248905945C116390426 @default.
- W4248905945 hasConceptScore W4248905945C126322002 @default.
- W4248905945 hasConceptScore W4248905945C177713679 @default.
- W4248905945 hasConceptScore W4248905945C194828623 @default.
- W4248905945 hasConceptScore W4248905945C2776376669 @default.
- W4248905945 hasConceptScore W4248905945C2776890885 @default.
- W4248905945 hasConceptScore W4248905945C2777953023 @default.
- W4248905945 hasConceptScore W4248905945C2987404301 @default.
- W4248905945 hasConceptScore W4248905945C31972630 @default.
- W4248905945 hasConceptScore W4248905945C41008148 @default.
- W4248905945 hasConceptScore W4248905945C42219234 @default.
- W4248905945 hasConceptScore W4248905945C58471807 @default.
- W4248905945 hasConceptScore W4248905945C71924100 @default.
- W4248905945 hasConceptScore W4248905945C84393581 @default.
- W4248905945 hasLocation W42489059451 @default.
- W4248905945 hasOpenAccess W4248905945 @default.
- W4248905945 hasPrimaryLocation W42489059451 @default.
- W4248905945 hasRelatedWork W1063543 @default.
- W4248905945 hasRelatedWork W11056615 @default.
- W4248905945 hasRelatedWork W11687504 @default.
- W4248905945 hasRelatedWork W14164870 @default.
- W4248905945 hasRelatedWork W14719196 @default.
- W4248905945 hasRelatedWork W14992206 @default.
- W4248905945 hasRelatedWork W5819750 @default.
- W4248905945 hasRelatedWork W9164895 @default.
- W4248905945 hasRelatedWork W219172 @default.
- W4248905945 hasRelatedWork W9197778 @default.
- W4248905945 isParatext "false" @default.
- W4248905945 isRetracted "false" @default.
- W4248905945 workType "article" @default.