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Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland.
Fagbamigbe, Adeniyi Francis; Agrawal, Utkarsh; Azcoaga-Lorenzo, Amaya; MacKerron, Briana; Özyigit, Eda Bilici; Alexander, Daniel C; Akbari, Ashley; Owen, Rhiannon K; Lyons, Jane; Lyons, Ronan A; Denaxas, Spiros; Kirk, Paul; Miller, Ana Corina; Harper, Gill; Dezateux, Carol; Brookes, Anthony; Richardson, Sylvia; Nirantharakumar, Krishnarajah; Guthrie, Bruce; Hughes, Lloyd; Kadam, Umesh T; Khunti, Kamlesh; Abrams, Keith R; McCowan, Colin.
Afiliación
  • Fagbamigbe AF; School of Medicine, University of St Andrews, St Andrews, United Kingdom.
  • Agrawal U; Department of Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria.
  • Azcoaga-Lorenzo A; Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom.
  • MacKerron B; Research Methods and Evaluation Unit, Institute for Health & Wellbeing, Coventry University, Coventry, United Kingdom.
  • Özyigit EB; Nuffield Department of Primary Care Health Science, University of Oxford, Oxford, United Kingdom.
  • Alexander DC; School of Medicine, University of St Andrews, St Andrews, United Kingdom.
  • Akbari A; Hospital Rey Juan Carlos, Instituto de Investigación Sanitaria Fundación Jimenez Diaz, Madrid, Spain.
  • Owen RK; School of Medicine, University of St Andrews, St Andrews, United Kingdom.
  • Lyons J; Centre for Medical Image Computing, Department of Computer Science, UCL, London, United Kingdom.
  • Lyons RA; Centre for Medical Image Computing, Department of Computer Science, UCL, London, United Kingdom.
  • Denaxas S; Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom.
  • Kirk P; Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom.
  • Miller AC; Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom.
  • Harper G; Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom.
  • Dezateux C; Institute of Health Informatics, UCL, London, United Kingdom.
  • Brookes A; British Heart Foundation Data Science Centre, London, United Kingdom.
  • Richardson S; MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
  • Nirantharakumar K; Centre for Public Health, Institute of Clinical Science, Queen's University Belfast, Belfast, United Kingdom.
  • Guthrie B; Clinical Effectiveness Group, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
  • Hughes L; Clinical Effectiveness Group, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
  • Kadam UT; Department of Genetics & Genome Biology, University of Leicester, Leicester, United Kingdom.
  • Khunti K; MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
  • Abrams KR; Public Health, University of Birmingham, Birmingham, United Kingdom.
  • McCowan C; Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
PLoS One ; 18(11): e0294666, 2023.
Article en En | MEDLINE | ID: mdl-38019832
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Registros Electrónicos de Salud / Multimorbilidad Límite: Humans País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_sistemas_informacao_saude Asunto principal: Registros Electrónicos de Salud / Multimorbilidad Límite: Humans País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido