HYBRID EVENT: You can participate in person at Singapore or Virtually from your home or work.


Public Health Conference

March 21 -23, 2022 | Singapore

IPHC 2022

Adaptive Healthcare System

Hamid Mcheick , Speaker at Hamid Mcheick : Speaker for Public Health Conferences
University of Quebec, Canada
Title : Adaptive Healthcare System


Chronic obstructive pulmonary disease (COPD) is one of the most severe public health problems worldwide. Pervasive computing technology creates a new opportunity to redesign the traditional pattern of medical system. While many pervasive healthcare systems are currently found in the literature, there is little published research on the effectiveness and adaptation of these paradigms in the medical context. We designed and validated a rule-based ontology framework for COPD patients. Unlike conventional systems, this work presents a new vision of telemedicine and remote care solutions that will promote individual self-management and autonomy for COPD patients through an advanced decision-making technique. This framework organizes and manages patients’ data and information, as well as helps doctors and medical experts in diagnosing disease and taking precluding procedure to avoid exacerbation as much as possible. In this talk, I will highlight the main components of this framework and show methods to adapt it based on the context of patients.  

Based on the analyzed data, we found that rules accuracy estimates were 89% for monitoring vital signs, and environmental factors. The originality of the proposed approach consists in its methodology to prove the efficiency of this model in simulated examples of real-life scenarios based on collaborative data analysis, recognized by specialized medical experts.

Our findings proved that dynamic thresholds can enhance existing telemonitoring systems and make a valuable contribution to identifying the health status of COPD patients. Three main conclusions can be drawn from this work. Firstly, an ontology-based system can provide a more efficient way to deal with medical data. Secondly, our framework suggests reliable recommendations. Thirdly, the results support the importance of context where it demonstrates that context variables have a strong influence on the accuracy of decisions. 


Dr. Hamid Mcheick is a full professor in Computer Science department at the University of Québec at Chicoutimi, Canada. He has more than 20 years of experience in both academic and industrial area. He has done his PhD in Software Engineering and Distributed System in the University of Montreal, Canada. He is working on design and adaptation of distributed and smart software applications; designing healthcare framework; and designing smart Internet of Things and edge framework. He has supervised many post-doctorate, PhD, master and bachelor students. He has nine book chapters, more than 60 research papers in international journals and more than 140 research papers in international/national conference and workshop proceedings in his credit. Dr. Mcheick has given many keynote speeches and tutorials in his research area. Dr. Mcheick has gotten many grants from governments, industrials and academics. He is a chief in editor, chair, co-chair, reviewer, member in many organizations (such as IEEE, ACM, Springer, Elsevier, Inderscience) around the world.