Hideyuki Tanushi

Stockholm, AB, Sweden

Last Updated: 09/26/2026

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Found 9 publications

The accuracy of fully-automated algorithms for the surveillance of central venous catheter-related bloodstream infection in hospitalised patients.

The accuracy of fully-automated algorithms for the surveillance of central venous catheter-related bloodstream infection in hospitalised patients.

Journal: Antimicrobial resistance and infection control

Published: November 13, 2023

Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data.

Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data.

Journal: Scientific reports

Published: May 03, 2023

SARS-CoV-2 testing in patients with low COVID-19 suspicion at admission to a tertiary care hospital, Stockholm, Sweden, March to September 2020.

SARS-CoV-2 testing in patients with low COVID-19 suspicion at admission to a tertiary care hospital, Stockholm, Sweden, March to September 2020.

Journal: Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin

Published: February 18, 2022

The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients.

The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients.

Journal: Antimicrobial stewardship & healthcare epidemiology : ASHE

Published: January 04, 2022

Clinical phenotypes and outcomes of SARS-CoV-2, influenza, RSV and seven other respiratory viruses: a retrospective study using complete hospital data.

Clinical phenotypes and outcomes of SARS-CoV-2, influenza, RSV and seven other respiratory viruses: a retrospective study using complete hospital data.

Journal: Thorax

Published: January 25, 2021

The accuracy of fully automated algorithms for surveillance of healthcare-associated urinary tract infections in hospitalized patients.

The accuracy of fully automated algorithms for surveillance of healthcare-associated urinary tract infections in hospitalized patients.

Journal: The Journal of hospital infection

Published: December 17, 2020

Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data.

Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data.

Journal: BMJ quality & safety

Published: July 23, 2019

Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.

Journal: Health informatics journal

Published: August 07, 2016

Detection of healthcare-associated urinary tract infection in Swedish electronic health records.

Detection of healthcare-associated urinary tract infection in Swedish electronic health records.

Journal: Studies in health technology and informatics

Published: December 10, 2014

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Last Updated: 09/26/2026