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Machine learning in the integration of simple variables for identifying patients with myocardial ischemia.
Juarez-Orozco, Luis Eduardo; Knol, Remco J J; Sanchez-Catasus, Carlos A; Martinez-Manzanera, Octavio; van der Zant, Friso M; Knuuti, Juhani.
Affiliation
  • Juarez-Orozco LE; Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, 20520, Turku, Finland. l.e.juarez.orozco@gmail.com.
  • Knol RJJ; Cardiac Imaging Division Alkmaar, Department of Nuclear Medicine, Northwest Clinics, Alkmaar, The Netherlands.
  • Sanchez-Catasus CA; Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Martinez-Manzanera O; Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • van der Zant FM; Cardiac Imaging Division Alkmaar, Department of Nuclear Medicine, Northwest Clinics, Alkmaar, The Netherlands.
  • Knuuti J; Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, 20520, Turku, Finland.
J Nucl Cardiol ; 27(1): 147-155, 2020 02.
Article in En | MEDLINE | ID: mdl-29790017
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myocardial Ischemia / Positron-Emission Tomography / Myocardial Perfusion Imaging / Machine Learning Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Nucl Cardiol Journal subject: CARDIOLOGIA Year: 2020 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Myocardial Ischemia / Positron-Emission Tomography / Myocardial Perfusion Imaging / Machine Learning Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: J Nucl Cardiol Journal subject: CARDIOLOGIA Year: 2020 Document type: Article Affiliation country: Country of publication: