Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

M Smit

Showing results (871-880 of 881) with videos related to

Pageof 89
Sort By:
Breast Cancer Research : BCR|December 19, 2019
Prediction and clinical utility of a contralateral breast cancer risk modelDaniele Giardiello, Ewout W Steyerberg, Michael Hauptmann, et al.
Scientific Reports|April 28, 2018
E-cadherin breast tumor expression, risk factors and survival: Pooled analysis of 5,933 cases from 12 studies in the Breast Cancer Association ConsortiumHisani N Horne, Hannah Oh, Mark E Sherman, et al.
International Journal of Medical Informatics|September 26, 2022
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health recordsIacopo Vagliano, Martijn C Schut, Ameen Abu-Hanna, et al.
Breast Cancer Research and Treatment|April 13, 2020
Prediction of contralateral breast cancer: external validation of risk calculators in 20 international cohortsDaniele Giardiello, Michael Hauptmann, Ewout W Steyerberg, et al.
Annals of Intensive Care|October 20, 2022
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learningTariq A Dam, Luca F Roggeveen, Fuda van Diggelen, et al.
Critical Care Explorations|October 21, 2021
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress SyndromeTariq A Dam, Harm-Jan de Grooth, Thomas Klausch, et al.
Age and Ageing|May 5, 2021
Frailty is associated with in-hospital mortality in older hospitalised COVID-19 patients in the Netherlands: the COVID-OLD studyLaura C Blomaard, Carolien M J van der Linden, Jessica M van der Bol, et al.
Critical Care (London, England)|August 24, 2021
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patientsLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Critical Care (London, England)|December 28, 2021
Predictors for extubation failure in COVID-19 patients using a machine learning approachLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Intensive Care Medicine Experimental|June 28, 2021
Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data WarehouseLucas M Fleuren, Michele Tonutti, Daan P de Bruin, et al.
Pageof 89

Showing results (871-880 of 881) with videos related to

Sort By:
Pageof 89
Breast Cancer Research : BCR|December 19, 2019
Prediction and clinical utility of a contralateral breast cancer risk modelDaniele Giardiello, Ewout W Steyerberg, Michael Hauptmann, et al.
Scientific Reports|April 28, 2018
E-cadherin breast tumor expression, risk factors and survival: Pooled analysis of 5,933 cases from 12 studies in the Breast Cancer Association ConsortiumHisani N Horne, Hannah Oh, Mark E Sherman, et al.
International Journal of Medical Informatics|September 26, 2022
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health recordsIacopo Vagliano, Martijn C Schut, Ameen Abu-Hanna, et al.
Breast Cancer Research and Treatment|April 13, 2020
Prediction of contralateral breast cancer: external validation of risk calculators in 20 international cohortsDaniele Giardiello, Michael Hauptmann, Ewout W Steyerberg, et al.
Annals of Intensive Care|October 20, 2022
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learningTariq A Dam, Luca F Roggeveen, Fuda van Diggelen, et al.
Critical Care Explorations|October 21, 2021
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress SyndromeTariq A Dam, Harm-Jan de Grooth, Thomas Klausch, et al.
Age and Ageing|May 5, 2021
Frailty is associated with in-hospital mortality in older hospitalised COVID-19 patients in the Netherlands: the COVID-OLD studyLaura C Blomaard, Carolien M J van der Linden, Jessica M van der Bol, et al.
Critical Care (London, England)|August 24, 2021
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patientsLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Critical Care (London, England)|December 28, 2021
Predictors for extubation failure in COVID-19 patients using a machine learning approachLucas M Fleuren, Tariq A Dam, Michele Tonutti, et al.
Intensive Care Medicine Experimental|June 28, 2021
Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data WarehouseLucas M Fleuren, Michele Tonutti, Daan P de Bruin, et al.
Pageof 89