Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms.
Lamping, Florian
Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms. [electronic resource] - BMC pediatrics 03 2018 - 112 p. digital
Publication Type: Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
1471-2431
10.1186/s12887-018-1082-2 doi
Adolescent
Algorithms
Child
Child, Preschool
Critical Illness
Decision Support Techniques
Diagnosis, Differential
Early Diagnosis
Female
Follow-Up Studies
Humans
Infant
Infant, Newborn
Machine Learning
Male
Prospective Studies
Reproducibility of Results
Sepsis--diagnosis
Systemic Inflammatory Response Syndrome--diagnosis
Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms. [electronic resource] - BMC pediatrics 03 2018 - 112 p. digital
Publication Type: Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
1471-2431
10.1186/s12887-018-1082-2 doi
Adolescent
Algorithms
Child
Child, Preschool
Critical Illness
Decision Support Techniques
Diagnosis, Differential
Early Diagnosis
Female
Follow-Up Studies
Humans
Infant
Infant, Newborn
Machine Learning
Male
Prospective Studies
Reproducibility of Results
Sepsis--diagnosis
Systemic Inflammatory Response Syndrome--diagnosis