Telecommunications is first and foremost an exchange of information in any given space. Tradition... more Telecommunications is first and foremost an exchange of information in any given space. Traditional communication networks are always vulnerable to destruction during natural disasters which often lead to the death and injury of thousands of people where rescue teams are unable to locate the victims on right time. This work presents a proposal about the possibility of building a wireless mobile network to exchange emergency messages when the damage affects the most existing telecommunication networks. The practical part of this study includes develop an android application using Wi-Fi peer-to-peer (P2P)
Chronic obstructive pulmonary disease (COPD) is one of the most severe public health problems wor... more 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 of these paradigms in the medical context. This paper designs and validates 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. Rules accuracy estimates were 89% for monitoring vital signs, and environmental factors, and 87% for nutrition facts, and physical activities.
The lack of interpretability in artificial intelligence models (i.e., deep learning, machine lear... more The lack of interpretability in artificial intelligence models (i.e., deep learning, machine learning, and rules-based) is an obstacle to their widespread adoption in the healthcare domain. The absence of understandability and transparency frequently leads to (i) inadequate accountability and (ii) a consequent reduction in the quality of the predictive results of the models. On the other hand, the existence of interpretability in the predictions of AI models will facilitate the understanding and trust of the clinicians in these complex models. The data protection regulations worldwide emphasize the relevance of the plausibility and verifiability of AI models’ predictions. In response and to take a role in tackling this challenge, we designed the interpretability-based model with algorithms that achieve human-like reasoning abilities through statistical analysis of the datasets by calculating the relative weights of the variables of the features from the medical images and the patien...
International Journal of Business Data Communications and Networking, 2012
SOA enables integration of applications and resources flexibly, representing every application or... more SOA enables integration of applications and resources flexibly, representing every application or resource as a service. Its purpose is to facilitate reuse and interoperability of applications, which are regarded as quality attributes of a system. It is very easy to talk about the benefits of SOA (reuse, etc.). But, there are no precise specifications to define this concept as the architectural style. SOA has another shortcoming; it is a problem of performance related to the creation of services that affect the total processing time of the system. This paper provides a basic specification of SOA and identifies architectural tactics to improve performance. The tactics adopted for the performance are then validated by a case study. A solution for the development of tactics is to use the ADD method. This is a method to meet the architectural requirements or qualities expected from a system. Three architectural models have been well integrated into SOA. Validation of the case study dete...
Asthma is a chronic respiratory disease characterized by severe inflammation of the bronchial muc... more Asthma is a chronic respiratory disease characterized by severe inflammation of the bronchial mucosa. Allergic asthma is the most common form of this health issue. Asthma is classified into allergic and non-allergic asthma, and it can be triggered by several factors such as indoor and outdoor allergens, air pollution, weather conditions, tobacco smoke, and food allergens, as well as other factors. Asthma symptoms differ in their frequency and severity since each patient reacts differently to these triggers. Formal knowledge is selected as one of the most promising solutions to deal with these challenges. This paper presents a new personalized approach to manage asthma. An ontology-driven model supported by Semantic Web Rule Language (SWRL) medical rules is proposed to provide personalized care for an asthma patient by identifying the risk factors and the development of possible exacerbations.
Web services adoption is a major advance in the development of interoperable information systems.... more Web services adoption is a major advance in the development of interoperable information systems. In particular, the composition of services can meet the needs increasingly complex of user, by a combination of web services within a single business process. However, despite this widespread adoption of Web services, many obstacles prevent their reconciliation in the composition, or may occur within a BPEL process in a state change, the context for example. ASWSCC Method (Adaptation of Semantic Web Service Composition to Context) is an implementation of a theoretical model made in our an earlier work. It focuses on composition process adaptation to use context (preferences, user type and its environment as the device used, location, access mode and many others). This context and request service matching should be taken into account while composing new services. Our goal is to develop a model which ensures, on the one hand, web services matching during composition process by using domai...
In this paper, we introduce a new kind of Service Level Agreement(SLA) Template to better control... more In this paper, we introduce a new kind of Service Level Agreement(SLA) Template to better control dynamically quality of medical monitoring platform service. Our approach is based on Health care system and Health Information Technology (HIT) research area, specifically the field of telemonitoring system for patients who suffer from chronic obstructive pulmonary disease (COPD). According to WHO statistics, COPD is the third leading cause of death worldwide. To this end, several solutions or platforms exist today to monitor COPD. Most of these platforms manage large volume of patient data. This can bring about quality and lost data problems. To address these issues, control mechanisms must be proposed and designed to improve the quality of service (QoS) on these platforms. A platform with continuously monitored QoS can save patients’ lives and reduce data quality risk. In this article, we propose an ontology that uses SLAs data from COPD monitoring platforms with dynamic data from a p...
Recent studies on chronic obstructive pulmonary disease (COPD) patients in the context of the cor... more Recent studies on chronic obstructive pulmonary disease (COPD) patients in the context of the coronavirus 19 (COVID-19) pandemic have reported two important problems, i.e., high mortality and vulnerability among COPD patients vs. non-COPD patients. The high number of deaths are caused by exacerbations, COVID-19, and other comorbidities. Therefore, the purpose of this article is to reduce the risk factors of COPD in the COVID-19 context. In this article, we propose approaches based on adaptation mechanisms for detecting COVID-19 symptoms, to better provide appropriate care to COPD patients. To achieve this goal, an ontological model called SuspectedCOPDcoviDOlogy has been created, which consists of five ontologies for detecting suspect cases. These ontologies use vital sign parameters, symptom parameters, service management, and alerts. SuspectedCOPDcoviDOlogy enhances the COPDology proposed by a previous research project in the COPD domain. To validate the solution, an experimental ...
Abstract Our research centers around exploring methodologies for developing reusable software, an... more Abstract Our research centers around exploring methodologies for developing reusable software, and developing methods and toofs for building with reusable software. In this paper, we focus on reusable software component retrieval methods that were developed ...
Telecommunications is first and foremost an exchange of information in any given space. Tradition... more Telecommunications is first and foremost an exchange of information in any given space. Traditional communication networks are always vulnerable to destruction during natural disasters which often lead to the death and injury of thousands of people where rescue teams are unable to locate the victims on right time. This work presents a proposal about the possibility of building a wireless mobile network to exchange emergency messages when the damage affects the most existing telecommunication networks. The practical part of this study includes develop an android application using Wi-Fi peer-to-peer (P2P)
Chronic obstructive pulmonary disease (COPD) is one of the most severe public health problems wor... more 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 of these paradigms in the medical context. This paper designs and validates 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. Rules accuracy estimates were 89% for monitoring vital signs, and environmental factors, and 87% for nutrition facts, and physical activities.
The lack of interpretability in artificial intelligence models (i.e., deep learning, machine lear... more The lack of interpretability in artificial intelligence models (i.e., deep learning, machine learning, and rules-based) is an obstacle to their widespread adoption in the healthcare domain. The absence of understandability and transparency frequently leads to (i) inadequate accountability and (ii) a consequent reduction in the quality of the predictive results of the models. On the other hand, the existence of interpretability in the predictions of AI models will facilitate the understanding and trust of the clinicians in these complex models. The data protection regulations worldwide emphasize the relevance of the plausibility and verifiability of AI models’ predictions. In response and to take a role in tackling this challenge, we designed the interpretability-based model with algorithms that achieve human-like reasoning abilities through statistical analysis of the datasets by calculating the relative weights of the variables of the features from the medical images and the patien...
International Journal of Business Data Communications and Networking, 2012
SOA enables integration of applications and resources flexibly, representing every application or... more SOA enables integration of applications and resources flexibly, representing every application or resource as a service. Its purpose is to facilitate reuse and interoperability of applications, which are regarded as quality attributes of a system. It is very easy to talk about the benefits of SOA (reuse, etc.). But, there are no precise specifications to define this concept as the architectural style. SOA has another shortcoming; it is a problem of performance related to the creation of services that affect the total processing time of the system. This paper provides a basic specification of SOA and identifies architectural tactics to improve performance. The tactics adopted for the performance are then validated by a case study. A solution for the development of tactics is to use the ADD method. This is a method to meet the architectural requirements or qualities expected from a system. Three architectural models have been well integrated into SOA. Validation of the case study dete...
Asthma is a chronic respiratory disease characterized by severe inflammation of the bronchial muc... more Asthma is a chronic respiratory disease characterized by severe inflammation of the bronchial mucosa. Allergic asthma is the most common form of this health issue. Asthma is classified into allergic and non-allergic asthma, and it can be triggered by several factors such as indoor and outdoor allergens, air pollution, weather conditions, tobacco smoke, and food allergens, as well as other factors. Asthma symptoms differ in their frequency and severity since each patient reacts differently to these triggers. Formal knowledge is selected as one of the most promising solutions to deal with these challenges. This paper presents a new personalized approach to manage asthma. An ontology-driven model supported by Semantic Web Rule Language (SWRL) medical rules is proposed to provide personalized care for an asthma patient by identifying the risk factors and the development of possible exacerbations.
Web services adoption is a major advance in the development of interoperable information systems.... more Web services adoption is a major advance in the development of interoperable information systems. In particular, the composition of services can meet the needs increasingly complex of user, by a combination of web services within a single business process. However, despite this widespread adoption of Web services, many obstacles prevent their reconciliation in the composition, or may occur within a BPEL process in a state change, the context for example. ASWSCC Method (Adaptation of Semantic Web Service Composition to Context) is an implementation of a theoretical model made in our an earlier work. It focuses on composition process adaptation to use context (preferences, user type and its environment as the device used, location, access mode and many others). This context and request service matching should be taken into account while composing new services. Our goal is to develop a model which ensures, on the one hand, web services matching during composition process by using domai...
In this paper, we introduce a new kind of Service Level Agreement(SLA) Template to better control... more In this paper, we introduce a new kind of Service Level Agreement(SLA) Template to better control dynamically quality of medical monitoring platform service. Our approach is based on Health care system and Health Information Technology (HIT) research area, specifically the field of telemonitoring system for patients who suffer from chronic obstructive pulmonary disease (COPD). According to WHO statistics, COPD is the third leading cause of death worldwide. To this end, several solutions or platforms exist today to monitor COPD. Most of these platforms manage large volume of patient data. This can bring about quality and lost data problems. To address these issues, control mechanisms must be proposed and designed to improve the quality of service (QoS) on these platforms. A platform with continuously monitored QoS can save patients’ lives and reduce data quality risk. In this article, we propose an ontology that uses SLAs data from COPD monitoring platforms with dynamic data from a p...
Recent studies on chronic obstructive pulmonary disease (COPD) patients in the context of the cor... more Recent studies on chronic obstructive pulmonary disease (COPD) patients in the context of the coronavirus 19 (COVID-19) pandemic have reported two important problems, i.e., high mortality and vulnerability among COPD patients vs. non-COPD patients. The high number of deaths are caused by exacerbations, COVID-19, and other comorbidities. Therefore, the purpose of this article is to reduce the risk factors of COPD in the COVID-19 context. In this article, we propose approaches based on adaptation mechanisms for detecting COVID-19 symptoms, to better provide appropriate care to COPD patients. To achieve this goal, an ontological model called SuspectedCOPDcoviDOlogy has been created, which consists of five ontologies for detecting suspect cases. These ontologies use vital sign parameters, symptom parameters, service management, and alerts. SuspectedCOPDcoviDOlogy enhances the COPDology proposed by a previous research project in the COPD domain. To validate the solution, an experimental ...
Abstract Our research centers around exploring methodologies for developing reusable software, an... more Abstract Our research centers around exploring methodologies for developing reusable software, and developing methods and toofs for building with reusable software. In this paper, we focus on reusable software component retrieval methods that were developed ...
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Papers by Hamid Mcheick