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Studies in Health Technology and Informatics
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December 10, 2014
Detection of healthcare-associated urinary tract infection in Swedish electronic health records
Hideyuki Tanushi, Maria Kvist, Elda Sparrelid
Health Informatics Journal
|
August 7, 2016
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting
Claudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi, et al.
Antimicrobial Resistance and Infection Control
|
February 5, 2024
The accuracy of fully-automated algorithms for the surveillance of central venous catheter-related bloodstream infection in hospitalised patients
Moa Karmefors Idvall, Hideyuki Tanushi, Andreas Berge, et al.
Antimicrobial Stewardship & Healthcare Epidemiology : ASHE
|
October 31, 2022
The accuracy of fully automated algorithms for surveillance of healthcare-onset <i>Clostridioides difficile</i> infections in hospitalized patients
Suzanne Desirée van der Werff, Mikael Fritzing, Hideyuki Tanushi, et al.
Euro Surveillance : Bulletin Europeen Sur Les Maladies Transmissibles = European Communicable Disease Bulletin
|
February 18, 2022
SARS-CoV-2 testing in patients with low COVID-19 suspicion at admission to a tertiary care hospital, Stockholm, Sweden, March to September 2020
Ana Requena-Méndez, Aikaterini Mougkou, Pontus Hedberg, et al.
Scientific Reports
|
July 20, 2023
Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Thorax
|
July 6, 2021
Clinical phenotypes and outcomes of SARS-CoV-2, influenza, RSV and seven other respiratory viruses: a retrospective study using complete hospital data
Pontus Hedberg, John Karlsson Valik, Suzanne van der Werff, et al.
BMJ Quality & Safety
|
February 8, 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
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Studies in Health Technology and Informatics
|
December 10, 2014
Detection of healthcare-associated urinary tract infection in Swedish electronic health records
Hideyuki Tanushi, Maria Kvist, Elda Sparrelid
Health Informatics Journal
|
August 7, 2016
Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting
Claudia Ehrentraut, Markus Ekholm, Hideyuki Tanushi, et al.
Antimicrobial Resistance and Infection Control
|
February 5, 2024
The accuracy of fully-automated algorithms for the surveillance of central venous catheter-related bloodstream infection in hospitalised patients
Moa Karmefors Idvall, Hideyuki Tanushi, Andreas Berge, et al.
Antimicrobial Stewardship & Healthcare Epidemiology : ASHE
|
October 31, 2022
The accuracy of fully automated algorithms for surveillance of healthcare-onset <i>Clostridioides difficile</i> infections in hospitalized patients
Suzanne Desirée van der Werff, Mikael Fritzing, Hideyuki Tanushi, et al.
Euro Surveillance : Bulletin Europeen Sur Les Maladies Transmissibles = European Communicable Disease Bulletin
|
February 18, 2022
SARS-CoV-2 testing in patients with low COVID-19 suspicion at admission to a tertiary care hospital, Stockholm, Sweden, March to September 2020
Ana Requena-Méndez, Aikaterini Mougkou, Pontus Hedberg, et al.
Scientific Reports
|
July 20, 2023
Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Thorax
|
July 6, 2021
Clinical phenotypes and outcomes of SARS-CoV-2, influenza, RSV and seven other respiratory viruses: a retrospective study using complete hospital data
Pontus Hedberg, John Karlsson Valik, Suzanne van der Werff, et al.
BMJ Quality & Safety
|
February 8, 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
John Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Page
of 1