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Hamzi, K.
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1

Machine-Learning Score using Stress CMR and CCTA for predic..:

Toupin, S. ; Pezel, T. ; Garot, P....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S8-S9 , 2024
Link: https://doi.org/10.1016/..
 
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2

Machine learning score using only echocardiographic data fo..:

Aghezzaf, S. ; Coisne, A. ; Hamzi, K....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S66 , 2024
Link: https://doi.org/10.1016/..
 
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3

Factors associated with coronary revascularization in patie..:

Singh, M. ; Pezel, T. ; Hamzi, K....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S24 , 2024
Link: https://doi.org/10.1016/..
 
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4

Machine learning score using cardiac MRI to predict cardiov..:

Pfeffer, A. ; Pezel, T. ; Toupin, S....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S56 , 2024
Link: https://doi.org/10.1016/..
 
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5

Phenotypic clustering of a large cohort of patients with di..:

Hamzi, K. ; Pezel, T. ; Dillinger, J.-G....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S116-S117 , 2024
Link: https://doi.org/10.1016/..
 
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6

Machine learning to predict in-hospital outcomes in patient..:

Sibilia, B. ; Dillinger, J.-G. ; Toupin, S....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S42 , 2024
Link: https://doi.org/10.1016/..
 
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7

Machine learning for major adverse cardiac events predictio..:

Gall, E. ; Dillinger, J.-G. ; Hamzi, K....
Archives of Cardiovascular Diseases.  117 (2024)  1 - p. S5 , 2024
Link: https://doi.org/10.1016/..
 
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8

Phenotypic clustering of patients hospitalised for acute ca..:

Hamzi, K. ; Gall, E. ; Vicaut, E....
Archives of Cardiovascular Diseases Supplements.  15 (2023)  1 - p. 165-166 , 2023
Link: https://doi.org/10.1016/..
 
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9

Machine learning for in-hospital cardiac events prediction ..:

Gall, E ; Dillinger, J G ; Hamzi, K...
European Heart Journal.  44 (2023)  Supplement_2 - p. , 2023
Link: https://doi.org/10.1093/..
 
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10

Machine learning score focused only on echocardiographic da..:

Aghezzaf, S ; Coisne, A ; Hamzi, K...
European Heart Journal.  44 (2023)  Supplement_2 - p. , 2023
Link: https://doi.org/10.1093/..
 
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11

Machine learning to predict in-hospital outcomes in patient..:

Sibilia, B ; Toupin, S ; Dillinger, J G...
European Heart Journal.  44 (2023)  Supplement_2 - p. , 2023
Link: https://doi.org/10.1093/..
 
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12

Machine-learning score to predict in-hospital outcomes in p..:

Weizman, O ; Pezel, T ; Hamzi, K...
European Heart Journal.  44 (2023)  Supplement_2 - p. , 2023
Link: https://doi.org/10.1093/..
 
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13

Characterizing patients ineligible for mitral valve interve..:

Ludwig, S ; Coisne, A ; Hamzi, K...
European Heart Journal.  44 (2023)  Supplement_2 - p. , 2023
Link: https://doi.org/10.1093/..
 
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14

Machine-learning score using CCTA and stress CMR for predic..:

Pezel, T ; Garot, P ; Toupin, S...
European Heart Journal.  44 (2023)  Supplement_2 - p. , 2023
Link: https://doi.org/10.1093/..
 
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15

Machine learning to detect recreational drugs use in cardia..:

El Beze, N ; Dillinger, J G ; Hamzi, K...
European Heart Journal.  44 (2023)  Supplement_2 - p. , 2023
Link: https://doi.org/10.1093/..
 
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