Connection

Benjamin Glicksberg to Female

This is a "connection" page, showing publications Benjamin Glicksberg has written about Female.
Connection Strength

0.067
  1. Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. J Med Internet Res. 2020 11 06; 22(11):e24018.
    View in: PubMed
    Score: 0.012
  2. Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children. Nat Commun. 2021 08 11; 12(1):4854.
    View in: PubMed
    Score: 0.003
  3. Intestinal Host Response to SARS-CoV-2 Infection and COVID-19 Outcomes in Patients With Gastrointestinal Symptoms. Gastroenterology. 2021 06; 160(7):2435-2450.e34.
    View in: PubMed
    Score: 0.003
  4. Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study. PLoS One. 2021; 16(2):e0247366.
    View in: PubMed
    Score: 0.003
  5. Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study. J Med Internet Res. 2021 02 22; 23(2):e26107.
    View in: PubMed
    Score: 0.003
  6. Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City. BMJ Open. 2020 11 27; 10(11):e040736.
    View in: PubMed
    Score: 0.003
  7. Association between COVID-19 diagnosis and presenting chief complaint from New York City triage data. Am J Emerg Med. 2021 Aug; 46:520-524.
    View in: PubMed
    Score: 0.003
  8. Outcomes of Patients on Maintenance Dialysis Hospitalized with COVID-19. Clin J Am Soc Nephrol. 2021 03 08; 16(3):452-455.
    View in: PubMed
    Score: 0.003
  9. Prognostic Impact of Prior Heart Failure in Patients Hospitalized With COVID-19. J Am Coll Cardiol. 2020 11 17; 76(20):2334-2348.
    View in: PubMed
    Score: 0.003
  10. Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records. BMJ Open. 2020 10 26; 10(10):e040441.
    View in: PubMed
    Score: 0.003
  11. AKI in Hospitalized Patients with COVID-19. J Am Soc Nephrol. 2021 01; 32(1):151-160.
    View in: PubMed
    Score: 0.003
  12. Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19. J Am Coll Cardiol. 2020 10 20; 76(16):1815-1826.
    View in: PubMed
    Score: 0.003
  13. Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization for COVID-19. J Gen Intern Med. 2020 10; 35(10):2838-2844.
    View in: PubMed
    Score: 0.003
  14. SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir Med. 2020 09; 8(9):e70.
    View in: PubMed
    Score: 0.003
  15. Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection. Nat Med. 2020 10; 26(10):1609-1615.
    View in: PubMed
    Score: 0.003
  16. Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection. J Am Coll Cardiol. 2020 08 04; 76(5):533-546.
    View in: PubMed
    Score: 0.003
  17. Melanocortin 4 Receptor Pathway Dysfunction in Obesity: Patient Stratification Aimed at MC4R Agonist Treatment. J Clin Endocrinol Metab. 2018 07 01; 103(7):2601-2612.
    View in: PubMed
    Score: 0.003
  18. Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age. J Biomed Inform. 2017 Dec; 76:59-68.
    View in: PubMed
    Score: 0.002
  19. Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health system. Elife. 2017 09 12; 6.
    View in: PubMed
    Score: 0.002
  20. Intracoronary Imaging, Cholesterol Efflux, and Transcriptomics after Intensive Statin Treatment in Diabetes. Sci Rep. 2017 08 01; 7(1):7001.
    View in: PubMed
    Score: 0.002
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.