This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2193) Machine Learning (1370) Decision Support for Health Professionals (1127) Clinical Information and Decision Making (1314) Intensive Care Unit (ICU) (101) Hygiene and Infection Prevention (297) Electronic Health Records (961) Tools, Programs and Algorithms (236)

Published on in Vol 5, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28000, first published .
A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study

A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study

A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study

Authors of this article:

Inger Persson1, 2 Author Orcid Image ;   Andreas Östling1 Author Orcid Image ;   Martin Arlbrandt3 Author Orcid Image ;   Joakim Söderberg2 Author Orcid Image ;   David Becedas2 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Inger Persson   1, 2 , PhD ;   Andreas Östling   1 , MSc ;   Martin Arlbrandt   3 , MD ;   Joakim Söderberg   2 , MSc ;   David Becedas   2 , MSc

1 Department of Statistics, Uppsala University, Uppsala, Sweden

2 AlgoDx AB, Stockholm, Sweden

3 Department of Anaesthesiology and Intensive Care, Södersjukhuset, Stockholm, Sweden

Corresponding Author: