Factors Associated With Variability in the Performance of a Proprietary Sepsis Prediction Model Across 9 Networked Hospitals in the US.
Sign Up to like & getrecommendations! Published in 2023 at "JAMA internal medicine"
DOI: 10.1001/jamainternmed.2022.7182
Abstract: This cohort study uses data from electronic health records to assess variability in a sepsis prediction model across 9 hospitals. read more here.
Keywords: prediction model; variability; model across; sepsis prediction ... See more keywords
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104255
Abstract: Early detection of sepsis can be life-saving. Machine learning models have shown great promise in early sepsis prediction when applied to patient physiological data in real-time. However, these existing models often under-perform in terms of… read more here.
Keywords: sepsis prediction; sepsis; machine learning; real time ... See more keywords
Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocad075
Abstract: OBJECTIVE To retrieve and appraise studies of deployed artificial intelligence (AI)-based sepsis prediction algorithms using systematic methods, identify implementation barriers, enablers, and key decisions and then map these to a novel end-to-end clinical AI implementation… read more here.
Keywords: implementation framework; framework; deployment; implementation ... See more keywords
Improving Sepsis Prediction Performance Using Conditional Recurrent Adversarial Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230324
Abstract: In this paper, we devise a novel method involving deep neural networks (DNNs) that improves the early prediction of sepsis for patients admitted to the intensive care units (ICUs). It is assumed that the patient… read more here.
Keywords: sepsis; improving sepsis; adversarial networks; prediction ... See more keywords
Automated digital technologies for supporting sepsis prediction in children: a scoping review protocol
Sign Up to like & getrecommendations! Published in 2022 at "BMJ Open"
DOI: 10.1136/bmjopen-2022-065429
Abstract: Introduction While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for… read more here.
Keywords: scoping review; prediction children; sepsis; sepsis prediction ... See more keywords
An interpretable machine learning model for real-time sepsis prediction based on basic physiological indicators.
Sign Up to like & getrecommendations! Published in 2023 at "European review for medical and pharmacological sciences"
DOI: 10.26355/eurrev_202305_32439
Abstract: OBJECTIVE In view of the important role of risk prediction models in the clinical diagnosis and treatment of sepsis, and the limitations of existing models in terms of timeliness and interpretability, we intend to develop… read more here.
Keywords: sepsis; prediction; real time; model ... See more keywords