Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Spiros Denaxas and Harry Hemingway.
Connection Strength

3.878
  1. A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems. JAMIA Open. 2020 Dec; 3(4):545-556.
    View in: PubMed
    Score: 0.917
  2. Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic. Eur J Prev Cardiol. 2021 12 20; 28(14):1599-1609.
    View in: PubMed
    Score: 0.246
  3. Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer deaths and a population-based cohort study. BMJ Open. 2020 11 17; 10(11):e043828.
    View in: PubMed
    Score: 0.228
  4. Models for mortality require tailoring in the context of the COVID-19 pandemic - Authors' reply. Lancet. 2020 09 26; 396(10255):883-884.
    View in: PubMed
    Score: 0.226
  5. Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet. 2020 05 30; 395(10238):1715-1725.
    View in: PubMed
    Score: 0.220
  6. Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study. Eur J Prev Cardiol. 2018 09; 25(14):1485-1495.
    View in: PubMed
    Score: 0.194
  7. Big data from electronic health records for early and late translational cardiovascular research: challenges and potential. Eur Heart J. 2018 04 21; 39(16):1481-1495.
    View in: PubMed
    Score: 0.191
  8. Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms. AMIA Annu Symp Proc. 2017; 2017:1352-1361.
    View in: PubMed
    Score: 0.191
  9. Methods for enhancing the reproducibility of biomedical research findings using electronic health records. BioData Min. 2017; 10:31.
    View in: PubMed
    Score: 0.183
  10. Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients. PLoS One. 2017; 12(6):e0178945.
    View in: PubMed
    Score: 0.180
  11. Prognosis of undiagnosed chest pain: linked electronic health record cohort study. BMJ. 2017 Apr 03; 357:j1194.
    View in: PubMed
    Score: 0.178
  12. Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records. BMJ. 2017 Mar 22; 356:j909.
    View in: PubMed
    Score: 0.177
  13. Neutrophil Counts and Initial Presentation of 12 Cardiovascular Diseases: A CALIBER Cohort Study. J Am Coll Cardiol. 2017 Mar 07; 69(9):1160-1169.
    View in: PubMed
    Score: 0.177
  14. White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand. BMJ Open. 2017 02 17; 7(2):e013100.
    View in: PubMed
    Score: 0.176
  15. Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population-based linked electronic health record cohort study in 2.1 million people. Eur J Heart Fail. 2017 09; 19(9):1119-1127.
    View in: PubMed
    Score: 0.174
  16. Estimating the Effect of Reduced Attendance at Emergency Departments for Suspected Cardiac Conditions on Cardiac Mortality During the COVID-19 Pandemic. Circ Cardiovasc Qual Outcomes. 2021 01; 14(1):e007085.
    View in: PubMed
    Score: 0.057
  17. Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study. Public Health. 2021 Feb; 191:41-47.
    View in: PubMed
    Score: 0.057
  18. Clinical academic research in the time of Corona: A simulation study in England and a call for action. PLoS One. 2020; 15(8):e0237298.
    View in: PubMed
    Score: 0.056
  19. An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ Open. 2018 03 03; 8(3):e018331.
    View in: PubMed
    Score: 0.047
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.