At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods
Mazankowski Heart Institute,
ISARIC Characterisation Group, Mesinovic, M., Wong, X. C., Rajahram, G. S., Citarella, B. W., Peariasamy, K. M.,
van Someren Greve, F., Olliaro, P., Merson, L., Clifton, L., Kartsonaki, C., Abdukahil, S. A., Abdulkadir, N. N., Abe, R., Abel, L., Abrous, A., Absil, L., Acker, A. & Adachi, S.
& 32 others,
Adam, E., Adriano, E., Adrião, D., Ageel, S. A., Ahmed, S., Aiello, M., Ainscough, K., Airlangga, E., Aisa, T., Hssain, A. A., Tamlihat, Y. A., Akimoto, T., Akmal, E., Qasim, E. A., Alalqam, R., Beane, A., Blot, M., Cristella, C., Croonen, S., de Jong, M., de Vries, P., Dondorp, A. M., Douma, R., Janes, V., Hamers, R. L., Nguyen, D., Paxton, W. A., Pollakis, G., Scicluna, B., Neto, A. S., Stienstra, Y. & Valk, P. V. D.,
1 Dec 2024,
In: Scientific reports. 14,
1, 16387.
Research output: Contribution to journal › Article* › Academic › peer-review