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Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data.
Farajidavar, Nazli; O'Gallagher, Kevin; Bean, Daniel; Nabeebaccus, Adam; Zakeri, Rosita; Bromage, Daniel; Kraljevic, Zeljko; Teo, James T H; Dobson, Richard J; Shah, Ajay M.
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  • Farajidavar N; King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
  • O'Gallagher K; King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
  • Bean D; King's College Hospital NHS Foundation Trust, London, UK.
  • Nabeebaccus A; King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
  • Zakeri R; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Bromage D; Health Data Research UK London, Institute of Health Informatics, University College London, London, UK.
  • Kraljevic Z; King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
  • Teo JTH; King's College Hospital NHS Foundation Trust, London, UK.
  • Dobson RJ; King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular and Metabolic Medicine and Sciences, King's College London, James Black Centre, 125 Coldharbour Lane, London, SE5 9NU, UK.
  • Shah AM; King's College Hospital NHS Foundation Trust, London, UK.
BMC Cardiovasc Disord ; 22(1): 567, 2022 12 26.
Article en En | MEDLINE | ID: mdl-36567336
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Insuficiencia Cardíaca Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: BMC Cardiovasc Disord Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Insuficiencia Cardíaca Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: BMC Cardiovasc Disord Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido