Your browser doesn't support javascript.
loading
Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.
Cowling, Thomas E; Cromwell, David A; Bellot, Alexis; Sharples, Linda D; van der Meulen, Jan.
Affiliation
  • Cowling TE; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK; Clinical Effectiveness Unit, Royal College of Surgeons of England, Lincoln's Inn Fields, London WC2A 3PE, UK. Electronic address: thomas.cowling@lshtm.ac.uk.
  • Cromwell DA; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK; Clinical Effectiveness Unit, Royal College of Surgeons of England, Lincoln's Inn Fields, London WC2A 3PE, UK.
  • Bellot A; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK; Alan Turing Institute, 96 Euston Road, London NW1 2DB, UK.
  • Sharples LD; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
  • van der Meulen J; Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK; Clinical Effectiveness Unit, Royal College of Surgeons of England, Lincoln's Inn Fields, London WC2A 3PE, UK.
J Clin Epidemiol ; 133: 43-52, 2021 05.
Article in En | MEDLINE | ID: mdl-33359319
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms / Logistic Models / International Classification of Diseases / Mortality / Machine Learning / Hip Fractures / Myocardial Infarction Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: J Clin Epidemiol Journal subject: EPIDEMIOLOGIA Year: 2021 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms / Logistic Models / International Classification of Diseases / Mortality / Machine Learning / Hip Fractures / Myocardial Infarction Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: J Clin Epidemiol Journal subject: EPIDEMIOLOGIA Year: 2021 Document type: Article Country of publication: