Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Nabeela Mughal and Ahmed Abdulaal.
Nabeela Mughal
Connection Strength
0.809
Ahmed Abdulaal
  1. Clinical Utility and Functionality of an Artificial Intelligence-Based App to Predict Mortality in COVID-19: Mixed Methods Analysis. JMIR Form Res. 2021 Jul 28; 5(7):e27992.
    View in: PubMed
    Score: 0.240
  2. Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes. BMC Med Inform Decis Mak. 2020 11 19; 20(1):299.
    View in: PubMed
    Score: 0.229
  3. Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation. J Med Internet Res. 2020 08 25; 22(8):e20259.
    View in: PubMed
    Score: 0.225
  4. Bacteraemia variation during the COVID-19 pandemic; a multi-centre UK secondary care ecological analysis. BMC Infect Dis. 2021 Jun 11; 21(1):556.
    View in: PubMed
    Score: 0.059
  5. Investigating the association between ethnicity and health outcomes in SARS-CoV-2 in a London secondary care population. PLoS One. 2020; 15(10):e0240960.
    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.