Integrating semantic dimension into clinical archetypes is necessary once modeling medical record... more Integrating semantic dimension into clinical archetypes is necessary once modeling medical records. First, it enables semantic interoperability and, it offers applying semantic activities on clinical data and provides a higher design quality of Electronic Medical Record (EMR) systems. However, to obtain these advantages, designers need to use archetypes that cover semantic features of clinical concepts involved in their specific applications. In fact, most of archetypes filed within open repositories are expressed in the Archetype Definition Language (ALD) which allows defining only the syntactic structure of clinical concepts weakening semantic activities on the EMR content in the semantic web environment. This paper focuses on the modeling of an EMR prototype for infants affected by Cerebral Palsy (CP), using the dual model approach and integrating semantic web technologies. Such a modeling provides a better delivery of quality of care and ensures semantic interoperability between all involved therapies' information systems. First, data to be documented are identified and collected from the involved therapies. Subsequently, data are analyzed and arranged into archetypes expressed in accordance of ADL. During this step, open archetype repositories are explored, in order to find the suitable archetypes. Then, ADL archetypes are transformed into archetypes expressed in OWL-DL (Ontology Web Language - Description Language). Finally, we construct an ontological source related to these archetypes enabling hence their annotation to facilitate data extraction and providing possibility to exercise semantic activities on such archetypes. Semantic dimension integration into EMR modeled in accordance to the archetype approach. The feasibility of our solution is shown through the development of a prototype, baptized "CP-SMS", which ensures semantic exploitation of CP EMR. This prototype provides the following features: (i) creation of CP EMR instances and their checking by using a knowledge base which we have constructed by interviews with domain experts, (ii) translation of initially CP ADL archetypes into CP OWL-DL archetypes, (iii) creation of an ontological source which we can use to annotate obtained archetypes and (vi) enrichment and supply of the ontological source and integration of semantic relations by providing hence fueling the ontology with new concepts, ensuring consistency and eliminating ambiguity between concepts. The degree of semantic interoperability that could be reached between EMR systems depends strongly on the quality of the used archetypes. Thus, the integration of semantic dimension in archetypes modeling process is crucial. By creating an ontological source and annotating archetypes, we create a supportive platform ensuring semantic interoperability between archetypes-based EMR-systems.
Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impa... more Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impact are being searched. However, studies on AD have shown that the fight against this disease requires a great effort of several actors who should contribute to the success of the patient care process. As computer scientists, we aim to contribute to this fight by assisting the decision-makers in the AD domain to choose the optimal decision in each given situation. Our objective is to capitalize knowledge so that we can provide more powerful and more efficient systems. We then propose an approach to build AD Clinical Decision Support Expert Systems (CDSES) based on the fuzzy specialization of the knowledge of this disease.
In this paper, we propose an ontology-based architecture for the classification of a scheduling p... more In this paper, we propose an ontology-based architecture for the classification of a scheduling problem. In fact, planning and scheduling is a major concern for the production enterprise as it contributes to its profit. Most of the time, researchers propose algorithms that relax some reel situations’ constraints; given that reel shop description are not taken directly from the floor supervisor, or given the complexity of the problem. The objective of ontology for the classification of scheduling problem is to build a bridge between practitioners and researchers in order to identify the reel classification of the problem. Thus, in this paper, we start by presenting a general model for the classification of scheduling problem. On this model, we build specific domain ontology. The specific domain ontology functions as a knowledge base and a data access point for the scheduling problem classification system.
The meta-modeling of medical records helps standardize and capitalize the expert’s knowledge doma... more The meta-modeling of medical records helps standardize and capitalize the expert’s knowledge domain. It promotes the interoperability knowledge and the reuse of clinical concepts, i.e., archetypes. It also promotes high quality electronic medical record system (EMRS) design, which helps provide better care service delivery. As a result, different standards of medical informatics use the dual model to support interoperability between Medical Information Systems. We particularly quote ISO/EN 13606 and OpenEHR. However, the use of these standards still presents challenges. Apart from political reasons, the main obstacles to the adoption of these standards include: (1) a lack of guides and methodological tools to facilitate the construction of EMRS using two conceptual levels. Designers must have languages, approaches and tools to assist them in the modeling of archetypal EMRS; (2) a lack of methodologies for semantic activities on the content of electronic health records in the semanti...
Integrating semantic dimension into clinical archetypes is necessary once modeling medical record... more Integrating semantic dimension into clinical archetypes is necessary once modeling medical records. First, it enables semantic interoperability and, it offers applying semantic activities on clinical data and provides a higher design quality of Electronic Medical Record (EMR) systems. However, to obtain these advantages, designers need to use archetypes that cover semantic features of clinical concepts involved in their specific applications. In fact, most of archetypes filed within open repositories are expressed in the Archetype Definition Language (ALD) which allows defining only the syntactic structure of clinical concepts weakening semantic activities on the EMR content in the semantic web environment. This paper focuses on the modeling of an EMR prototype for infants affected by Cerebral Palsy (CP), using the dual model approach and integrating semantic web technologies. Such a modeling provides a better delivery of quality of care and ensures semantic interoperability between all involved therapies' information systems. First, data to be documented are identified and collected from the involved therapies. Subsequently, data are analyzed and arranged into archetypes expressed in accordance of ADL. During this step, open archetype repositories are explored, in order to find the suitable archetypes. Then, ADL archetypes are transformed into archetypes expressed in OWL-DL (Ontology Web Language - Description Language). Finally, we construct an ontological source related to these archetypes enabling hence their annotation to facilitate data extraction and providing possibility to exercise semantic activities on such archetypes. Semantic dimension integration into EMR modeled in accordance to the archetype approach. The feasibility of our solution is shown through the development of a prototype, baptized "CP-SMS", which ensures semantic exploitation of CP EMR. This prototype provides the following features: (i) creation of CP EMR instances and their checking by using a knowledge base which we have constructed by interviews with domain experts, (ii) translation of initially CP ADL archetypes into CP OWL-DL archetypes, (iii) creation of an ontological source which we can use to annotate obtained archetypes and (vi) enrichment and supply of the ontological source and integration of semantic relations by providing hence fueling the ontology with new concepts, ensuring consistency and eliminating ambiguity between concepts. The degree of semantic interoperability that could be reached between EMR systems depends strongly on the quality of the used archetypes. Thus, the integration of semantic dimension in archetypes modeling process is crucial. By creating an ontological source and annotating archetypes, we create a supportive platform ensuring semantic interoperability between archetypes-based EMR-systems.
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014
Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impa... more Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impact are being searched. However, studies on AD have shown that the fight against this disease requires a great effort of several actors who should contribute to the success of the patient care process. As computer scientists, we aim to contribute to this fight by assisting the decision-makers in the AD domain to choose the optimal decision in each given situation. Our objective is to capitalize knowledge so that we can provide more powerful and more efficient systems. We then propose an approach to build AD Clinical Decision Support Expert Systems (CDSES) based on the fuzzy specialization of the knowledge of this disease.
2010 Annual Meeting of the North American Fuzzy Information Processing Society, 2010
ABSTRACT Building ontologies is very important for diverse domains and especially for semantic We... more ABSTRACT Building ontologies is very important for diverse domains and especially for semantic Web. We find in the literature many methods and tools for this building. However, the fuzzy aspect is not enough studied in these methods and tools, whereas information systems can include uncertainties and imperfections. The goal of the definition of fuzzy ontologies is to integrate these characteristics. So, we must be able to modulate uncertainties, on the one hand, and to product representations accessible and understandable by machines, on the other hand. If we find actually many building methods and editors for classic ontologies (i.e., crisp or exact), we do not find such methods for fuzzy ontologies. Then, this paper defines our work for fuzzy ontologies building. It presents our fuzzy ontologies building method “Fuzzy OntoMethodology”.
Integrating semantic dimension into clinical archetypes is necessary once modeling medical record... more Integrating semantic dimension into clinical archetypes is necessary once modeling medical records. First, it enables semantic interoperability and, it offers applying semantic activities on clinical data and provides a higher design quality of Electronic Medical Record (EMR) systems. However, to obtain these advantages, designers need to use archetypes that cover semantic features of clinical concepts involved in their specific applications. In fact, most of archetypes filed within open repositories are expressed in the Archetype Definition Language (ALD) which allows defining only the syntactic structure of clinical concepts weakening semantic activities on the EMR content in the semantic web environment. This paper focuses on the modeling of an EMR prototype for infants affected by Cerebral Palsy (CP), using the dual model approach and integrating semantic web technologies. Such a modeling provides a better delivery of quality of care and ensures semantic interoperability between all involved therapies' information systems. First, data to be documented are identified and collected from the involved therapies. Subsequently, data are analyzed and arranged into archetypes expressed in accordance of ADL. During this step, open archetype repositories are explored, in order to find the suitable archetypes. Then, ADL archetypes are transformed into archetypes expressed in OWL-DL (Ontology Web Language - Description Language). Finally, we construct an ontological source related to these archetypes enabling hence their annotation to facilitate data extraction and providing possibility to exercise semantic activities on such archetypes. Semantic dimension integration into EMR modeled in accordance to the archetype approach. The feasibility of our solution is shown through the development of a prototype, baptized "CP-SMS", which ensures semantic exploitation of CP EMR. This prototype provides the following features: (i) creation of CP EMR instances and their checking by using a knowledge base which we have constructed by interviews with domain experts, (ii) translation of initially CP ADL archetypes into CP OWL-DL archetypes, (iii) creation of an ontological source which we can use to annotate obtained archetypes and (vi) enrichment and supply of the ontological source and integration of semantic relations by providing hence fueling the ontology with new concepts, ensuring consistency and eliminating ambiguity between concepts. The degree of semantic interoperability that could be reached between EMR systems depends strongly on the quality of the used archetypes. Thus, the integration of semantic dimension in archetypes modeling process is crucial. By creating an ontological source and annotating archetypes, we create a supportive platform ensuring semantic interoperability between archetypes-based EMR-systems.
Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impa... more Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impact are being searched. However, studies on AD have shown that the fight against this disease requires a great effort of several actors who should contribute to the success of the patient care process. As computer scientists, we aim to contribute to this fight by assisting the decision-makers in the AD domain to choose the optimal decision in each given situation. Our objective is to capitalize knowledge so that we can provide more powerful and more efficient systems. We then propose an approach to build AD Clinical Decision Support Expert Systems (CDSES) based on the fuzzy specialization of the knowledge of this disease.
In this paper, we propose an ontology-based architecture for the classification of a scheduling p... more In this paper, we propose an ontology-based architecture for the classification of a scheduling problem. In fact, planning and scheduling is a major concern for the production enterprise as it contributes to its profit. Most of the time, researchers propose algorithms that relax some reel situations’ constraints; given that reel shop description are not taken directly from the floor supervisor, or given the complexity of the problem. The objective of ontology for the classification of scheduling problem is to build a bridge between practitioners and researchers in order to identify the reel classification of the problem. Thus, in this paper, we start by presenting a general model for the classification of scheduling problem. On this model, we build specific domain ontology. The specific domain ontology functions as a knowledge base and a data access point for the scheduling problem classification system.
The meta-modeling of medical records helps standardize and capitalize the expert’s knowledge doma... more The meta-modeling of medical records helps standardize and capitalize the expert’s knowledge domain. It promotes the interoperability knowledge and the reuse of clinical concepts, i.e., archetypes. It also promotes high quality electronic medical record system (EMRS) design, which helps provide better care service delivery. As a result, different standards of medical informatics use the dual model to support interoperability between Medical Information Systems. We particularly quote ISO/EN 13606 and OpenEHR. However, the use of these standards still presents challenges. Apart from political reasons, the main obstacles to the adoption of these standards include: (1) a lack of guides and methodological tools to facilitate the construction of EMRS using two conceptual levels. Designers must have languages, approaches and tools to assist them in the modeling of archetypal EMRS; (2) a lack of methodologies for semantic activities on the content of electronic health records in the semanti...
Integrating semantic dimension into clinical archetypes is necessary once modeling medical record... more Integrating semantic dimension into clinical archetypes is necessary once modeling medical records. First, it enables semantic interoperability and, it offers applying semantic activities on clinical data and provides a higher design quality of Electronic Medical Record (EMR) systems. However, to obtain these advantages, designers need to use archetypes that cover semantic features of clinical concepts involved in their specific applications. In fact, most of archetypes filed within open repositories are expressed in the Archetype Definition Language (ALD) which allows defining only the syntactic structure of clinical concepts weakening semantic activities on the EMR content in the semantic web environment. This paper focuses on the modeling of an EMR prototype for infants affected by Cerebral Palsy (CP), using the dual model approach and integrating semantic web technologies. Such a modeling provides a better delivery of quality of care and ensures semantic interoperability between all involved therapies' information systems. First, data to be documented are identified and collected from the involved therapies. Subsequently, data are analyzed and arranged into archetypes expressed in accordance of ADL. During this step, open archetype repositories are explored, in order to find the suitable archetypes. Then, ADL archetypes are transformed into archetypes expressed in OWL-DL (Ontology Web Language - Description Language). Finally, we construct an ontological source related to these archetypes enabling hence their annotation to facilitate data extraction and providing possibility to exercise semantic activities on such archetypes. Semantic dimension integration into EMR modeled in accordance to the archetype approach. The feasibility of our solution is shown through the development of a prototype, baptized "CP-SMS", which ensures semantic exploitation of CP EMR. This prototype provides the following features: (i) creation of CP EMR instances and their checking by using a knowledge base which we have constructed by interviews with domain experts, (ii) translation of initially CP ADL archetypes into CP OWL-DL archetypes, (iii) creation of an ontological source which we can use to annotate obtained archetypes and (vi) enrichment and supply of the ontological source and integration of semantic relations by providing hence fueling the ontology with new concepts, ensuring consistency and eliminating ambiguity between concepts. The degree of semantic interoperability that could be reached between EMR systems depends strongly on the quality of the used archetypes. Thus, the integration of semantic dimension in archetypes modeling process is crucial. By creating an ontological source and annotating archetypes, we create a supportive platform ensuring semantic interoperability between archetypes-based EMR-systems.
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014
Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impa... more Since Alzheimer's Disease (AD) has a huge socio-economic impact, attempts to reduce this impact are being searched. However, studies on AD have shown that the fight against this disease requires a great effort of several actors who should contribute to the success of the patient care process. As computer scientists, we aim to contribute to this fight by assisting the decision-makers in the AD domain to choose the optimal decision in each given situation. Our objective is to capitalize knowledge so that we can provide more powerful and more efficient systems. We then propose an approach to build AD Clinical Decision Support Expert Systems (CDSES) based on the fuzzy specialization of the knowledge of this disease.
2010 Annual Meeting of the North American Fuzzy Information Processing Society, 2010
ABSTRACT Building ontologies is very important for diverse domains and especially for semantic We... more ABSTRACT Building ontologies is very important for diverse domains and especially for semantic Web. We find in the literature many methods and tools for this building. However, the fuzzy aspect is not enough studied in these methods and tools, whereas information systems can include uncertainties and imperfections. The goal of the definition of fuzzy ontologies is to integrate these characteristics. So, we must be able to modulate uncertainties, on the one hand, and to product representations accessible and understandable by machines, on the other hand. If we find actually many building methods and editors for classic ontologies (i.e., crisp or exact), we do not find such methods for fuzzy ontologies. Then, this paper defines our work for fuzzy ontologies building. It presents our fuzzy ontologies building method “Fuzzy OntoMethodology”.
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Papers by Hanêne GHORBEL AGREBI