دورية أكاديمية

Utilization of the Signature Method to Identify the Early Onset of Sepsis From Multivariate Physiological Time Series in Critical Care Monitoring.

التفاصيل البيبلوغرافية
العنوان: Utilization of the Signature Method to Identify the Early Onset of Sepsis From Multivariate Physiological Time Series in Critical Care Monitoring.
المؤلفون: Morrill, James H.1,2 (AUTHOR) james.morrill.6@gmail.com, Kormilitzin, Andrey1,3 (AUTHOR), Nevado-Holgado, Alejo J.3 (AUTHOR), Swaminathan, Sumanth2,4 (AUTHOR), Howison, Samuel D.1 (AUTHOR), Lyons, Terry J.1 (AUTHOR)
المصدر: Critical Care Medicine. Oct2020, Vol. 48 Issue 10, pe976-e981. 6p.
مصطلحات موضوعية: *SEPSIS, *TIME series analysis, *CRITICAL care medicine, *UTILITY functions, *FORECASTING, *INTENSIVE care units, *RESEARCH, *RESEARCH methodology, *RETROSPECTIVE studies, *MEDICAL cooperation, *EVALUATION research, *COMPARATIVE studies, *RESEARCH funding, *STATISTICAL models, *ALGORITHMS, *EARLY diagnosis, RESEARCH evaluation
مستخلص: Objectives: Patients in an ICU are particularly vulnerable to sepsis. It is therefore important to detect its onset as early as possible. This study focuses on the development and validation of a new signature-based regression model, augmented with a particular choice of the handcrafted features, to identify a patient's risk of sepsis based on physiologic data streams. The model makes a positive or negative prediction of sepsis for every time interval since admission to the ICU.Design: The data were sourced from the PhysioNet/Computing in Cardiology Challenge 2019 on the "Early Prediction of Sepsis from Clinical Data." It consisted of ICU patient data from three separate hospital systems. Algorithms were scored against a specially designed utility function that rewards early predictions in the most clinically relevant region around sepsis onset and penalizes late predictions and false positives.Setting: The work was completed as part of the PhysioNet 2019 Challenge alongside 104 other teams.Patients: PhysioNet sourced over 60,000 ICU patients with up to 40 clinical variables for each hour of a patient's ICU stay. The Sepsis-3 criteria was used to define the onset of sepsis.Interventions: None.Measurements and Main Results: The algorithm yielded a utility function score which was the first placed entry in the official phase of the challenge. [ABSTRACT FROM AUTHOR]
قاعدة البيانات: Academic Search Index
الوصف
تدمد:00903493
DOI:10.1097/CCM.0000000000004510