Dr Mohammad Eissa

Journal articles

• Khadem H, Nemat H, Eissa MR, Elliott J & Benaissa M (2022) COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework. Computers in Biology and Medicine, 105361-105361.
• Nemat H, Khadem H, Eissa MR, Elliott J & Benaissa M (2022) Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning Approach.. IEEE J Biomed Health Inform, PP.
• Alsabah M, Naser MA, Mahmmod BM, Abdulhussain SH, Eissa MR, Al-Baidhani A, Noordin NK, Sait SM, Al-Utaibi KA & Hashim F (2021) 6G wireless communications networks: a comprehensive survey. IEEE Access.
• Coates E, Amiel S, Baird W, Benaissa M, Brennan A, Campbell M, Chadwick P, Chater T, Choudhary P, Cooke D , Cooper C et al (2021) 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 effective self-management in adults with type 1 diabetes. BMJ Open, 11(1). View this article in WRRO
• Zaitcev A, Eissa MR, Hui Z, Good T, Elliott J & Benaissa M (2020) A deep neural network application for improved prediction of HbA1c in type 1 diabetes. IEEE Journal of Biomedical and Health Informatics. View this article in WRRO
• Khadem H, Eissa MR, Nemat H, Alrezj O & Benaissa M (2020) Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopy. Talanta. View this article in WRRO
• Eissa MR, Benaissa M, Good T, Hui Z, Gianfrancesco C, Ferguson C & Elliott J () Analysis of real‐world capillary blood glucose data to help reduce HbA1c and hypoglycaemia in type 1 diabetes: evidence in favour of using percentage of readings in target and coefficient of variation. Diabetic Medicine.