King's College London

• Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study

  Wang, W., Rudd, A., Wang, Y., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 27 May 2022, In: BMC Neurology. 22, 1, 195.

  Research output: Contribution to journal › Article › peer-review

• Real-world effectiveness of steroids in severe COVID-19: longer courses associated with lower risk of death or ICU admission

  Wang, W., Snell, L. B., Ferrari, D., Goodman, A. L., Price, N. M., Wolfe, C. D., Curcin, V., Edgeworth, J. D. & Wang, Y., 28 Feb 2022, (Archives of Public Health).

  Research output: Working paper/Preprint › Preprint

• Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London

  Snell, L. B., Wang, W., Alcolea-Medina, A., Charalampous, T., Batra, R., de Jongh, L., Higgins, F., Investigators, COG-UK. HOCI., Nebbia, G., Wang, Y., Edgeworth, J. & Curcin, V., 8 Feb 2022, In: BMJ Open. 12, 2, p. e055474 e055474.

  Research output: Contribution to journal › Article › peer-review

• RISK PREDICTION OF STROKE ASSOCIATED PNEUMONIA USING ADVANCED STATISTICAL AND MACHINE LEARNING TECHNIQUES: A NATIONWIDE REGISTRY-BASED COHORT STUDY

  Wang, W., Rudd, A., Wang, Y., Smith, C., Kishore, A., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 1 Sep 2021, In: European Stroke Journal. 6, Issue 1_suppl, p. 103-103 1 p., O0172/#1179.

  Research output: Contribution to journal › Meeting abstract › peer-review

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