Your browser doesn't support javascript.
loading
Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients.
Juan-Salvadores, Pablo; Veiga, Cesar; Jiménez Díaz, Víctor Alfonso; Guitián González, Alba; Iglesia Carreño, Cristina; Martínez Reglero, Cristina; Baz Alonso, José Antonio; Caamaño Isorna, Francisco; Romo, Andrés Iñiguez.
Affiliation
  • Juan-Salvadores P; Cardiovascular Research Unit, Cardiology Department, Hospital Alvaro Cunqueiro, University Hospital of Vigo, 36213 Vigo, Spain.
  • Veiga C; Cardiovascular Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain.
  • Jiménez Díaz VA; Cardiovascular Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain.
  • Guitián González A; Cardiovascular Research Unit, Cardiology Department, Hospital Alvaro Cunqueiro, University Hospital of Vigo, 36213 Vigo, Spain.
  • Iglesia Carreño C; Cardiovascular Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain.
  • Martínez Reglero C; Interventional Cardiology Unit, Cardiology Department, Hospital Álvaro Cunqueiro, University Hospital of Vigo, 36213 Vigo, Spain.
  • Baz Alonso JA; Cardiology Department, Hospital Álvaro Cunqueiro, University Hospital of Vigo, 36213 Vigo, Spain.
  • Caamaño Isorna F; Cardiology Department, Hospital Álvaro Cunqueiro, University Hospital of Vigo, 36213 Vigo, Spain.
  • Romo AI; Methodology and Statistics Unit, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain.
Diagnostics (Basel) ; 12(2)2022 Feb 06.
Article in En | MEDLINE | ID: mdl-35204511
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Diagnostics (Basel) Year: 2022 Document type: Article Affiliation country: Country of publication: