| 6G wireless communications networks: A comprehensive survey M Alsabah, MA Naser, BM Mahmmod, SH Abdulhussain, MR Eissa, ... Ieee Access 9, 148191-148243, 2021 | 425 | 2021 |
| Blood glucose level prediction: advanced deep-ensemble learning approach H Nemat, H Khadem, MR Eissa, J Elliott, M Benaissa IEEE Journal of Biomedical and Health Informatics 26 (6), 2758-2769, 2022 | 52 | 2022 |
| A Deep Neural Network Application for Improved Prediction of in Type 1 Diabetes A Zaitcev, MR Eissa, Z Hui, T Good, J Elliott, M Benaissa IEEE journal of biomedical and health informatics 24 (10), 2932-2941, 2020 | 51 | 2020 |
| COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework H Khadem, H Nemat, MR Eissa, J Elliott, M Benaissa Computers in Biology and Medicine 144, 105361, 2022 | 20 | 2022 |
| Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopy H Khadem, MR Eissa, H Nemat, O Alrezj, M Benaissa Talanta 211, 120740, 2020 | 19 | 2020 |
| Protocol for a cluster randomised controlled trial of the DAFNEplus (Dose Adjustment For Normal Eating) intervention compared with 5x1 DAFNE: a lifelong approach to promote … E Coates, S Amiel, W Baird, M Benaissa, A Brennan, MJ Campbell, ... BMJ open 11 (1), e040438, 2021 | 12 | 2021 |
| Intelligent data-driven model for diabetes diurnal patterns analysis MR Eissa, T Good, J Elliott, M Benaissa IEEE Journal of Biomedical and Health Informatics 24 (10), 2984-2992, 2020 | 11 | 2020 |
| Analysis of real‐world capillary blood glucose data to help reduce HbA1c and hypoglycaemia in type 1 diabetes: Evidence in favour of using the percentage of … MR Eissa, M Benaissa, T Good, Z Hui, C Gianfrancesco, C Ferguson, ... Diabetic Medicine 40 (2), e14972, 2023 | 7 | 2023 |
| Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility study A Zaitcev, MR Eissa, Z Hui, T Good, J Elliott, M Benaissa Frontiers in Clinical Diabetes and Healthcare 4, 1095859, 2023 | 4 | 2023 |
| Corrigendum: Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility study A Zaitcev, MR Eissa, Z Hui, T Good, J Elliott, M Benaissa Frontiers in Clinical Diabetes and Healthcare 4, 1227105, 2023 | | 2023 |
| Translational technology in type 1 diabetes to help optimise glycaemic control and sustain behaviour change MR Eissa University of Sheffield, 2022 | | 2022 |
Mohammed BenaissaProfessor of Information Engineering, The University of SheffieldVerificeret mail på sheffield.ac.uk
