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Health Sciences Publications - AI, IoT, Edge Computing, Cloud Computing, Blockchain

Disease Prediction

  1. Hennebelle, Alain, Leila Ismail, Huned Materwala, Juma Al Kaabi, Priya Ranjan, and Rajiv Janardhanan. "Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction." Computational and Structural Biotechnology Journal (2024). https://doi.org/10.1016/j.csbj.2023.11.038 [PDF]

  2. Hennebelle, Alain, Huned Materwala, and Leila Ismail. "HealthEdge: a machine learning-based smart healthcare framework for prediction of type 2 diabetes in an integrated IoT, edge, and cloud computing system." Procedia Computer Science 220 (2023): 331-338. https://doi.org/10.1016/j.procs.2023.03.043

  3. Ismail, Leila, and Huned Materwala. "IDMPF: intelligent diabetes mellitus prediction framework using machine learning." Applied Computing and Informatics (2021). https://doi.org/10.1108/ACI-10-2020-0094

  4. Ismail, Leila, Huned Materwala, and Juma Al Kaabi. "Association of risk factors with type 2 diabetes: A systematic review." Computational and Structural Biotechnology Journal 19 (2021): 1759. https://doi.org/10.1016/j.csbj.2021.03.003

  5. Ismail, Leila, Huned Materwala, Maryam Tayefi, Phuong Ngo, Achim P Karduck. "Type 2 diabetes with artificial intelligence machine learning: methods and evaluation." Arch Computat Methods Eng (2020): 313–333. https://doi.org/10.1007/s11831-021-09582-x

  6. Ismail, Leila, and Huned Materwala. "Comparative Analysis of Machine Learning Models for Diabetes Mellitus Type 2 Prediction." In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 527-533. IEEE, 2020. 10.1109/CSCI51800.2020.00095 [PDF]​

Patient Healthcare and Management Systems

  1. Hennebelle, Alain, Leila Ismail, Huned Materwala, Juma Al Kaabi, Priya Ranjan, and Rajiv Janardhanan. "Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction." Computational and Structural Biotechnology Journal (2024). https://doi.org/10.1016/j.csbj.2023.11.038 [PDF]

  2. Kaafarani, Rima, Leila Ismail, and Oussama Zahwe. "An Adaptive Decision-Making Approach for Better Selection of Blockchain Platform for Health Insurance Frauds Detection with Smart Contracts: Development and Performance Evaluation." Procedia Computer Science 220 (2023): 470-477. https://doi.org/10.1016/j.procs.2023.03.060

  3. Alasbali, Nada, Saaidal Razalli Bin Azzuhri, Rosli Bin Salleh, Miss Laiha Mat Kiah, Ahmad Aliff AS Ahmad Shariffuddin, Nik Muhammad Izwan bin Nik Mohd Kamel, and Leila Ismail. "Rules of smart IoT networks within smart cities towards blockchain standardization." Mobile Information Systems 2022 (2022): 1-11. https://doi.org/10.1155/2022/9109300

  4. Ismail, Leila, and Sherali Zeadally. "Healthcare Insurance Frauds: Taxonomy and Blockchain-based Detection Framework (Block-HI)." IT Professional 23, no. 4 (2021): 36-43. https://doi.org/10.1109/MITP.2021.3071534 [PDF]

  5. Ismail, Leila, Huned Materwala, and Alain Hennebelle. "A Scoping Review of Integrated Blockchain-Cloud (BcC) Architecture for Healthcare: Applications, Challenges and Solutions." Sensors 21, no. 11 (2021): 3753. https://doi.org/10.3390/s21113753

  6. Ismail, Leila, Huned Materwala, and Youssef Sharaf. "BlockHR–A Blockchain-based Healthcare Records Management Framework: Performance Evaluation and Comparison with Client/Server Architecture." In 2020 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1-8. IEEE, 2020. https://doi.org/10.1109/ISNCC49221.2020.9297216

  7. Ismail, Leila, and Huned Materwala. "Blockchain paradigm for healthcare: Performance evaluation." Symmetry 12, no. 8 (2020): 1200. https://doi.org/10.3390/sym12081200

  8. Ismail, Leila, Huned Materwala, and Moien AB Khan. "Performance Evaluation of a Patient-Centric Blockchain-based Healthcare Records Management Framework." In Proceedings of the 2020 2nd International Electronics Communication Conference, pp. 39-50. 2020. https://doi.org/10.1145/3409934.3409941

  9. Ismail, Leila, and Huned Materwala. "BlockHR: A Blockchain-based Framework for Health Records Management." In Proceedings of the 12th International Conference on Computer Modeling and Simulation, pp. 164-168. 2020. https://doi.org/10.1145/3408066.3408106

  10. Ismail, Leila, Huned Materwala, Achim P. Karduck, and Abdu Adem. "Requirements of health data management systems for biomedical care and research: scoping review." Journal of Medical Internet Research 22, no. 7 (2020): e17508. https://doi.org/10.2196/17508

  11. Ismail, Leila, Huned Materwala, and Sherali Zeadally. "Lightweight blockchain for healthcare." IEEE Access 7 (2019): 149935-149951. https://doi.org/10.1109/ACCESS.2019.2947613

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Epidemiology and Public Health 

  1. Ismail, Leila, Nada Shahin, Huned Materwala, Alain Hennebelle, and Lea Frermann. "ML-NLPEmot: Machine Learning-Natural Language Processing (NLP) Event-based Emotion Detection Proactive Framework Addressing Mental Health." IEEE Access (2023). https://doi.org/10.1109/ACCESS.2023.3343121

  2. Ismail, Leila, Huned Materwala, Yousef Al Hammadi, Farshad Firouzi, Gulfaraz Khan, and Saaidal Razalli Bin Azzuhri. "Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections—Performance evaluation." Frontiers in Medicine 9 (2022): 871885. https://doi.org/10.3389/fmed.2022.871885

  3. Ismail, Leila, Huned Materwala, and Alain Hennebelle. "Forecasting COVID-19 infections in gulf cooperation council (GCC) countries using machine learning." In Proceedings of the 13th International Conference on Computer Modeling and Simulation, pp. 231-236. 2021. https://doi.org/10.1145/3474963.3475844

  4. Ismail, Leila, Shaikhah Alhmoudi, and Sumyah Alkatheri. "Time Series Forecasting of COVID-19 Infections in United Arab Emirates using ARIMA." In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 801-806. IEEE, 2020. https://doi.org/10.1109/CSCI51800.2020.00150 [PDF]

Computer Vision for Pain-Level Detection

  1. Ismail, Leila, and Muhammad Danish Waseem. "Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation." Procedia Computer Science 220 (2023): 339-347. https://doi.org/10.1016/j.procs.2023.03.044

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