Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Weijie Guan and Wenhua Liang.
Connection Strength

1.228
  1. Addendum: Early triage of critically ill COVID-19 patients using deep learning. Nat Commun. 2021 02 01; 12(1):826.
    View in: PubMed
    Score: 0.232
  2. Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19. JAMA Intern Med. 2020 08 01; 180(8):1081-1089.
    View in: PubMed
    Score: 0.224
  3. Early triage of critically ill COVID-19 patients using deep learning. Nat Commun. 2020 07 15; 11(1):3543.
    View in: PubMed
    Score: 0.223
  4. Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. Lancet Oncol. 2020 03; 21(3):335-337.
    View in: PubMed
    Score: 0.217
  5. The incidence, risk factors and prognosis of acute kidney injury in severe and critically ill patients with COVID-19 in mainland China: a retrospective study. BMC Pulm Med. 2020 Nov 09; 20(1):290.
    View in: PubMed
    Score: 0.057
  6. Clinical Features of Coronavirus Disease 2019 Patients With Mechanical Ventilation: A Nationwide Study in China. Crit Care Med. 2020 09; 48(9):e809-e812.
    View in: PubMed
    Score: 0.056
  7. Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China. J Allergy Clin Immunol. 2020 Jul; 146(1):89-100.
    View in: PubMed
    Score: 0.055
  8. Risk Factors of Fatal Outcome in Hospitalized Subjects With Coronavirus Disease 2019 From a Nationwide Analysis in China. Chest. 2020 07; 158(1):97-105.
    View in: PubMed
    Score: 0.055
  9. Attention should be paid to venous thromboembolism prophylaxis in the management of COVID-19. Lancet Haematol. 2020 05; 7(5):e362-e363.
    View in: PubMed
    Score: 0.055
  10. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions. J Thorac Dis. 2020 Mar; 12(3):165-174.
    View in: PubMed
    Score: 0.054
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.