Mr Mahmoud Aldraimli


2022

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort.
Aldraimli, Mahmoud, Osman, Sarah, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E A, Soria, Daniele, Dwek, Miriam V, Aguado-Barrera, Miguel E, Azria, David, Chang-Claude, Jenny, Dunning, Alison, Giraldo, Alexandra, Green, Sheryl, Gutiérrez-Enríquez, Sara, Herskind, Carsten, van Hulle, Hans, Lambrecht, Maarten, Lozza, Laura, Rancati, Tiziana, Reyes, Victoria, Rosenstein, Barry S, de Ruysscher, Dirk, de Santis, Maria C, Seibold, Petra, Sperk, Elena, Symonds, R Paul, Stobart, Hilary, Taboada-Valadares, Begoña, Talbot, Christopher J, Vakaet, Vincent J L, Vega, Ana, Veldeman, Liv, Veldwijk, Marlon R, Webb, Adam, Weltens, Caroline, West, Catharine M, Chaussalet, Thierry J, Rattay, Tim and REQUITE consortium 2022. Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort. Advances in radiation oncology. 7 (3) 100890. https://doi.org/10.1016/j.adro.2021.100890

2020

Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Thomas, E.L., Bell, J.D., Dwek, M. and Chaussalet, T.J. 2020. Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases. Health and Technology. 10, pp. 925-944. https://doi.org/10.1007/s12553-020-00446-1


Usage Statistics
919 total views of outputs
330 total downloads of outputs
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.