Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments

por Chmiel, F. P., Burns, D. K., Azor, M., Borca, F., Boniface, M. J., Zlatev, Z. D., White, N. M., Daniels, T. W. V., Kiuber, M.
Publicado 2021

Inflammatory phenotyping predicts clinical outcome in COVID-19

por Burke, H., Freeman, A., Cellura, D. C., Stuart, B. L., Brendish, N. J., Poole, S., Borca, F., Phan, H. T. T., Sheard, N., Williams, S., Spalluto, C. M., Staples, K. J., Clark, T. W., Wilkinson, T. M. A.
Publicado 2020

P954: ESTABLISHING THE NATIONAL INSTITUTE FOR HEALTH RESEARCH (NIHR) HEALTH INFORMATICS COLLABORATIVE (HIC) MULTIPLE MYELOMA (MM) REGISTRY

por Tayabali, S., Moore, S., Jenner, M., Djebbari, F., Romao, L., English, L., Rodriguez, R., Briot Ribeyre, B., Roadknight, G., Varnai, K., Little, S., Davies, J., Woods, K., Davis, C., Borca, F., Olza Meneses, J., Phan, H., Wong, W. K., Popat, R.
Publicado 2022