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Claire Lacomblez

Showing results (1-10 of 9) with videos related to

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Internal and Emergency Medicine|May 23, 2024
A machine learning-based lung ultrasound algorithm for the diagnosis of acute heart failureStefano Coiro, Claire Lacomblez, Kevin Duarte, et al.
European Journal of Heart Failure|November 6, 2025
Unsupervised machine learning for cardiovascular disease: A framework for future studiesEmmanuel Bresso, Claire Lacomblez, Kévin Duarte, et al.
JACC. Advances|December 25, 2025
The Impact of Meteorological Variables on Heart Failure HospitalizationsStefano Coiro, Claire Lacomblez, Guillaume Baudry, et al.
ESC Heart Failure|May 23, 2026
Interplay Between Acute Heart Failure and COPD in Patients Hospitalized for Dyspnea: Prognostic Insights From the PARADISE CohortGuillaume Baudry, Lucie Ferreira, Luca Monzo, et al.
European Journal of Heart Failure|May 10, 2026
Short- and Long-Term Mortality in Patients Hospitalized for Dyspnoea with Acute Heart Failure, Respiratory Infection, or Both: Insights from the PARADISE CohortStefano Coiro, Luca Monzo, Florian Boutry, et al.
European Journal of Heart Failure|March 2, 2026
Short and long-term prognosis of hospitalization for dyspnoea based on aetiology and hospitalization ward: insights from the PARADISE cohortGuillaume Baudry, Claire Lacomblez, Emmanuel Bresso, et al.
Scientific Reports|February 19, 2021
Head-to-head comparison of clustering methods for heterogeneous data: a simulation-driven benchmarkGregoire Preud'homme, Kevin Duarte, Kevin Dalleau, et al.
European Heart Journal. Digital Health|March 26, 2026
Machine-learning approach on echocardiography to improve the detection of transthyretin amyloid cardiomyopathy: GRAAL algorithmAntoine Fraix, Olivier Huttin, Claire Lacomblez, et al.
European Heart Journal. Digital Health|April 13, 2026
Proteomic phenotyping with machine learning for cardiovascular outcomes in haemodialysis: insights from the AURORA trialMadonna Salib, Sophie Girerd, Florence Pinet, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Internal and Emergency Medicine|May 23, 2024
A machine learning-based lung ultrasound algorithm for the diagnosis of acute heart failureStefano Coiro, Claire Lacomblez, Kevin Duarte, et al.
European Journal of Heart Failure|November 6, 2025
Unsupervised machine learning for cardiovascular disease: A framework for future studiesEmmanuel Bresso, Claire Lacomblez, Kévin Duarte, et al.
JACC. Advances|December 25, 2025
The Impact of Meteorological Variables on Heart Failure HospitalizationsStefano Coiro, Claire Lacomblez, Guillaume Baudry, et al.
ESC Heart Failure|May 23, 2026
Interplay Between Acute Heart Failure and COPD in Patients Hospitalized for Dyspnea: Prognostic Insights From the PARADISE CohortGuillaume Baudry, Lucie Ferreira, Luca Monzo, et al.
European Journal of Heart Failure|May 10, 2026
Short- and Long-Term Mortality in Patients Hospitalized for Dyspnoea with Acute Heart Failure, Respiratory Infection, or Both: Insights from the PARADISE CohortStefano Coiro, Luca Monzo, Florian Boutry, et al.
European Journal of Heart Failure|March 2, 2026
Short and long-term prognosis of hospitalization for dyspnoea based on aetiology and hospitalization ward: insights from the PARADISE cohortGuillaume Baudry, Claire Lacomblez, Emmanuel Bresso, et al.
Scientific Reports|February 19, 2021
Head-to-head comparison of clustering methods for heterogeneous data: a simulation-driven benchmarkGregoire Preud'homme, Kevin Duarte, Kevin Dalleau, et al.
European Heart Journal. Digital Health|March 26, 2026
Machine-learning approach on echocardiography to improve the detection of transthyretin amyloid cardiomyopathy: GRAAL algorithmAntoine Fraix, Olivier Huttin, Claire Lacomblez, et al.
European Heart Journal. Digital Health|April 13, 2026
Proteomic phenotyping with machine learning for cardiovascular outcomes in haemodialysis: insights from the AURORA trialMadonna Salib, Sophie Girerd, Florence Pinet, et al.
Pageof 1