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Cardiovascular medicine
Protocol
Predicting incident heart failure from population-based nationwide electronic health records: protocol for a model development and validation study

Authors

  • Yoko M Nakao Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UKLeeds Institute for Data Analytics, University of Leeds, Leeds, UKDepartment of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Kyoto, Japan PubMed articlesGoogle scholar articles
  • Ramesh Nadarajah Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UKLeeds Institute for Data Analytics, University of Leeds, Leeds, UKDepartment of Cardiology, Leeds Teaching Hospital NHS Trust, Leeds, UK PubMed articlesGoogle scholar articles
  • Farag Shuweihdi Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK PubMed articlesGoogle scholar articles
  • Kazuhiro Nakao Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UKLeeds Institute for Data Analytics, University of Leeds, Leeds, UKDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan PubMed articlesGoogle scholar articles
  • Ahmet Fuat Carmel Medical Practice, Darlington & School of Medicine, Pharmacy and Health, Durham University, Darham, UK PubMed articlesGoogle scholar articles
  • Jim Moore Stroke Road Surgery, Bishop's Cleeve, Cheltenham, UK PubMed articlesGoogle scholar articles
  • Christopher Bates The Phoenix Partnership Leeds Ltd, Horsforth, West Yorkshire, UK PubMed articlesGoogle scholar articles
  • Jianhua Wu Department of Biostatistics and Health Data Science, Queen Mary University of London, London, UK PubMed articlesGoogle scholar articles
  • Chris Gale Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UKLeeds Institute for Data Analytics, University of Leeds, Leeds, UKDepartment of Cardiology, Leeds Teaching Hospital NHS Trust, Leeds, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Yoko M Nakao; y.nakao{at}leeds.ac.uk
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Citation

Nakao YM, Nadarajah R, Shuweihdi F, et al
Predicting incident heart failure from population-based nationwide electronic health records: protocol for a model development and validation study
BMJ Open 2024;14:e073455. doi: 10.1136/bmjopen-2023-073455

Publication history

  • Received March 6, 2023
  • Accepted June 29, 2023
  • First published January 22, 2024.
Online issue publication 
January 22, 2024
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© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.