Benaissa M - Search Results

1

COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework.

Khadem H, Nemat H, Eissa MR, Elliott J, Benaissa M. Khadem H, et al. Among authors: benaissa m. Comput Biol Med. 2022 May;144:105361. doi: 10.1016/j.compbiomed.2022.105361. Epub 2022 Mar 2. Comput Biol Med. 2022. PMID: 35255295 Free PMC article.

2

A Deep Neural Network Application for Improved Prediction of [Formula: see text] in Type 1 Diabetes.

Zaitcev A, Eissa MR, Hui Z, Good T, Elliott J, Benaissa M. Zaitcev A, et al. Among authors: benaissa m. IEEE J Biomed Health Inform. 2020 Oct;24(10):2932-2941. doi: 10.1109/JBHI.2020.2967546. Epub 2020 Jan 17. IEEE J Biomed Health Inform. 2020. PMID: 31976917

3

Classification before regression for improving the accuracy of glucose quantification using absorption spectroscopy.

Khadem H, Eissa MR, Nemat H, Alrezj O, Benaissa M. Khadem H, et al. Among authors: benaissa m. Talanta. 2020 May 1;211:120740. doi: 10.1016/j.talanta.2020.120740. Epub 2020 Jan 13. Talanta. 2020. PMID: 32070580

4

Intelligent Data-Driven Model for Diabetes Diurnal Patterns Analysis.

Eissa MR, Good T, Elliott J, Benaissa M. Eissa MR, et al. Among authors: benaissa m. IEEE J Biomed Health Inform. 2020 Oct;24(10):2984-2992. doi: 10.1109/JBHI.2020.2975927. Epub 2020 Feb 24. IEEE J Biomed Health Inform. 2020. PMID: 32092021

5

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.

Coates E, Amiel S, Baird W, Benaissa M, Brennan A, Campbell MJ, Chadwick P, Chater T, Choudhary P, Cooke D, Cooper C, Cross E, De Zoysa N, Eissa M, Elliott J, Gianfrancesco C, Good T, Hopkins D, Hui Z, Lawton J, Lorencatto F, Michie S, Pollard DJ, Rankin D, Schutter J, Scott E, Speight J, Stanton-Fay S, Taylor C, Thompson G, Totton N, Yardley L, Zaitcev A, Heller S; DAFNEplus group. Coates E, et al. Among authors: benaissa m. BMJ Open. 2021 Jan 18;11(1):e040438. doi: 10.1136/bmjopen-2020-040438. BMJ Open. 2021. PMID: 33462097 Free PMC article.

6

Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning Approach.

Nemat H, Khadem H, Eissa MR, Elliott J, Benaissa M. Nemat H, et al. Among authors: benaissa m. IEEE J Biomed Health Inform. 2022 Jun;26(6):2758-2769. doi: 10.1109/JBHI.2022.3144870. Epub 2022 Jun 3. IEEE J Biomed Health Inform. 2022. PMID: 35077372 Free article.

7

Signal fragmentation based feature vector generation in a model agnostic framework with application to glucose quantification using absorption spectroscopy.

Khadem H, Nemat H, Elliott J, Benaissa M. Khadem H, et al. Among authors: benaissa m. Talanta. 2022 Jun 1;243:123379. doi: 10.1016/j.talanta.2022.123379. Epub 2022 Mar 15. Talanta. 2022. PMID: 35306399 Review.

8

Analysis of real-world capillary blood glucose data to help reduce HbA_1c and hypoglycaemia in type 1 diabetes: Evidence in favour of using the percentage of readings in target and coefficient of variation.

Eissa MR, Benaissa M, Good T, Hui Z, Gianfrancesco C, Ferguson C, Elliott J. Eissa MR, et al. Among authors: benaissa m. Diabet Med. 2023 Feb;40(2):e14972. doi: 10.1111/dme.14972. Epub 2022 Oct 20. Diabet Med. 2023. PMID: 36209371 Free PMC article.

9

Causality analysis in type 1 diabetes mellitus with application to blood glucose level prediction.

Nemat H, Khadem H, Elliott J, Benaissa M. Nemat H, et al. Among authors: benaissa m. Comput Biol Med. 2023 Feb;153:106535. doi: 10.1016/j.compbiomed.2022.106535. Epub 2023 Jan 3. Comput Biol Med. 2023. PMID: 36640530 Free article.

10

Determination of glucose concentration from near-infrared spectra using locally weighted partial least square regression.

Malik B, Benaissa M. Malik B, et al. Among authors: benaissa m. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6169-71. doi: 10.1109/EMBC.2012.6347402. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23367337

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