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Mohammed Benaissa

Showing results (21-30 of 35) with videos related to

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Computers in Biology and Medicine|March 7, 2022
COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation frameworkHeydar Khadem, Hoda Nemat, Mohammad R Eissa, et al.
Talanta|February 20, 2020
Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopyHeydar Khadem, Mohammad R Eissa, Hoda Nemat, et al.
IEEE Journal of Biomedical and Health Informatics|January 25, 2022
Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning ApproachHoda Nemat, Heydar Khadem, Mohammad R Eissa, et al.
Vegetos (Bareilly, India)|June 16, 2021
Ethnobotanical and ethnomedicinal analysis of wild medicinal plants traditionally used in Naâma, southwest AlgeriaMiloud Bouafia, Fouzia Amamou, Mohamed Gherib, et al.
Frontiers in Clinical Diabetes and Healthcare|June 23, 2023
Corrigendum: Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility studyAleksandr Zaitcev, Mohammad R Eissa, Zheng Hui, et al.
Frontiers in Clinical Diabetes and Healthcare|May 4, 2023
Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility studyAleksandr Zaitcev, Mohammad R Eissa, Zheng Hui, et al.
Plos One|May 25, 2019
A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaintsSabah Al-Hameed, Mohammed Benaissa, Heidi Christensen, et al.
IEEE Journal of Biomedical and Health Informatics|January 25, 2020
A Deep Neural Network Application for Improved Prediction of [Formula: see text] in Type 1 DiabetesAleksandr Zaitcev, Mohammad R Eissa, Zheng Hui, et al.
Molecules (Basel, Switzerland)|October 16, 2010
Two new alkaloids from Narcissus serotinus LNatalia B Pigni, Strahil Berkov, Abdelaziz Elamrani, et al.
Diabetic Medicine : a Journal of the British Diabetic Association|October 9, 2022
Analysis of real-world capillary blood glucose data to help reduce HbA<sub>1c</sub> and hypoglycaemia in type 1 diabetes: Evidence in favour of using the percentage of readings in target and coefficient of variationMohammad R Eissa, Mohammed Benaissa, Tim Good, et al.
Pageof 4

Showing results (21-30 of 35) with videos related to

Sort By:
Pageof 4
Computers in Biology and Medicine|March 7, 2022
COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation frameworkHeydar Khadem, Hoda Nemat, Mohammad R Eissa, et al.
Talanta|February 20, 2020
Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopyHeydar Khadem, Mohammad R Eissa, Hoda Nemat, et al.
IEEE Journal of Biomedical and Health Informatics|January 25, 2022
Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning ApproachHoda Nemat, Heydar Khadem, Mohammad R Eissa, et al.
Vegetos (Bareilly, India)|June 16, 2021
Ethnobotanical and ethnomedicinal analysis of wild medicinal plants traditionally used in Naâma, southwest AlgeriaMiloud Bouafia, Fouzia Amamou, Mohamed Gherib, et al.
Frontiers in Clinical Diabetes and Healthcare|June 23, 2023
Corrigendum: Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility studyAleksandr Zaitcev, Mohammad R Eissa, Zheng Hui, et al.
Frontiers in Clinical Diabetes and Healthcare|May 4, 2023
Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility studyAleksandr Zaitcev, Mohammad R Eissa, Zheng Hui, et al.
Plos One|May 25, 2019
A new diagnostic approach for the identification of patients with neurodegenerative cognitive complaintsSabah Al-Hameed, Mohammed Benaissa, Heidi Christensen, et al.
IEEE Journal of Biomedical and Health Informatics|January 25, 2020
A Deep Neural Network Application for Improved Prediction of [Formula: see text] in Type 1 DiabetesAleksandr Zaitcev, Mohammad R Eissa, Zheng Hui, et al.
Molecules (Basel, Switzerland)|October 16, 2010
Two new alkaloids from Narcissus serotinus LNatalia B Pigni, Strahil Berkov, Abdelaziz Elamrani, et al.
Diabetic Medicine : a Journal of the British Diabetic Association|October 9, 2022
Analysis of real-world capillary blood glucose data to help reduce HbA<sub>1c</sub> and hypoglycaemia in type 1 diabetes: Evidence in favour of using the percentage of readings in target and coefficient of variationMohammad R Eissa, Mohammed Benaissa, Tim Good, et al.
Pageof 4