@inproceedings{MTMT:32064995,
	title = {Non-Invasive Health Control through Guided Shopping: A Rule-Based Approach},
	url = {https://m2.mtmt.hu/api/publication/32064995},
	author = {Serhani, Mohamed Adel and Ahmad, Amir and Alkhatri, Athra and Almansoori, Mariam and Alkhyeli, Alyazia},
	booktitle = {2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS 2019)},
	doi = {10.1109/ICDS47004.2019.8942238},
	unique-id = {32064995},
	year = {2019},
	pages = {1-8}
}

@inproceedings{MTMT:25227469,
	title = {Closing the loop from continuous M-health monitoring to fuzzy logic-based optimized recommendations},
	url = {https://m2.mtmt.hu/api/publication/25227469},
	author = {Benharref, Abdelghani and Serhani, Mohamed Adel and Nujum, Al Ramzana},
	booktitle = {36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014)},
	publisher = {Institute of Electrical and Electronics Engineers},
	unique-id = {25227469},
	year = {2014},
	pages = {2698-2701}
}

@inproceedings{MTMT:25227468,
	title = {An Adaptive Expert System for Automated Advices Generation-Based Semi-continuous M-Health Monitoring},
	url = {https://m2.mtmt.hu/api/publication/25227468},
	author = {Serhani, Mohamed Adel and Benharref, Abdelghani and Nujum, Al Ramzana},
	booktitle = {Brain Informatics and Health},
	doi = {10.1007/978-3-319-09891-3_36},
	publisher = {Springer Netherlands},
	unique-id = {25227468},
	abstract = {Chronic diseases such as diabetes and hypertension have been recognized in the last decade among the principal causes of death in the world. Mitigating and controlling the elicited risks necessitate a continuous monitoring to produce accurate recommendations for both patients and physicians. For patient, it will help in adjusting his/her lifestyles, medications, and sport activities. However, for physicians, it helps in taking guided therapy decision. In this paper, we propose an adaptive Expert System (ES) that relies, not only on a set of rules validated by experts, but also linked to an intelligent continuous monitoring scheme that copes with semi-continuous data streams by implementing smart sensing and pre-processing of data. In addition, we implemented an iterative data analytic technique that learns from the past ES experience to continuously improve clinical decision-making and automatically generates validated advices. These advices are visualized via an application interface. We experimented the proposed system using different scenarios of monitoring blood sugar and blood pressure parameters of a population of patients with chronic diseases. The results we have obtained showed that our ES combined with the intelligent monitoring and analytic techniques provide a high accuracy of collected data and evident-based advices.},
	year = {2014},
	pages = {388-399}
}

@inproceedings{MTMT:25227476,
	title = {Intelligent remote health monitoring using evident-based DSS for automated assistance},
	url = {https://m2.mtmt.hu/api/publication/25227476},
	author = {Serhani, Mohamed Adel and Benharref, Abdelghani and Nujum, Al Ramzana},
	booktitle = {36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014)},
	publisher = {Institute of Electrical and Electronics Engineers},
	unique-id = {25227476},
	year = {2014},
	pages = {2674-2677}
}