Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Akhil Vaid and Suraj Jaladanki.
Connection Strength

0.646
  1. Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19. Clin J Am Soc Nephrol. 2021 08; 16(8):1158-1168.
    View in: PubMed
    Score: 0.237
  2. Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach. JMIR Med Inform. 2021 Jan 27; 9(1):e24207.
    View in: PubMed
    Score: 0.232
  3. 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: 0.060
  4. Acute Kidney Injury in Patients Hospitalized With COVID-19 in New York City: Temporal Trends From March 2020 to April 2021. Kidney Med. 2021 Sep-Oct; 3(5):877-879.
    View in: PubMed
    Score: 0.060
  5. 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: 0.057
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.