TY  - CHAP
AU  - Serhani, Mohamed Adel
AU  - Ahmad, Amir
AU  - Alkhatri, Athra
AU  - Almansoori, Mariam
AU  - Alkhyeli, Alyazia
ED  - IEEE, ,
TI  - Non-Invasive Health Control through Guided Shopping: A Rule-Based Approach
T2  - 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS 2019)
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 9781728100036
PY  - 2019
SP  - 1
EP  - 8
PG  - 8
DO  - 10.1109/ICDS47004.2019.8942238
UR  - https://m2.mtmt.hu/api/publication/32064995
ID  - 32064995
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Benharref, Abdelghani
AU  - Serhani, Mohamed Adel
AU  - Nujum, Al Ramzana
ED  - IEEE Engineering in Medicine and Biology Society, (EMBC)
TI  - Closing the loop from continuous M-health monitoring to fuzzy logic-based optimized recommendations
T2  - 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014)
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 1424479290
T3  - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, ISSN 1557-170X
PB  - IEEE
PY  - 2014
SP  - 2698
EP  - 2701
PG  - 4
UR  - https://m2.mtmt.hu/api/publication/25227469
ID  - 25227469
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Serhani, Mohamed Adel
AU  - Benharref, Abdelghani
AU  - Nujum, Al Ramzana
ED  - Ślȩzak, Dominik
ED  - Tan, Ah-Hwee
ED  - Peters, James F
ED  - Schwabe, Lars
TI  - An Adaptive Expert System for Automated Advices Generation-Based Semi-continuous M-Health Monitoring
T2  - Brain Informatics and Health
PB  - Springer Netherlands
CY  - Cham
SN  - 9783319098913
T3  - Lecture Notes in Computer Science, ISSN 0302-9743 ; 8609.
PB  - Springer Netherlands
PY  - 2014
SP  - 388
EP  - 399
PG  - 12
DO  - 10.1007/978-3-319-09891-3_36
UR  - https://m2.mtmt.hu/api/publication/25227468
ID  - 25227468
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Serhani, Mohamed Adel
AU  - Benharref, Abdelghani
AU  - Nujum, Al Ramzana
ED  - IEEE Engineering in Medicine and Biology Society, (EMBC)
TI  - Intelligent remote health monitoring using evident-based DSS for automated assistance
T2  - 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014)
PB  - IEEE
CY  - Piscataway (NJ)
SN  - 1424479290
T3  - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, ISSN 1557-170X
PB  - IEEE
PY  - 2014
SP  - 2674
EP  - 2677
PG  - 4
UR  - https://m2.mtmt.hu/api/publication/25227476
ID  - 25227476
LA  - English
DB  - MTMT
ER  -