Automated Diagnosis Through Ontologies and Logical Descriptions : The ADONIS Approach
The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for A...
Ausführliche Beschreibung
Autor*in: |
Colomo-Palacios, Ricardo [verfasserIn] García-Crespo, Ángel [author] Gómez-Berbís, Juan Miguel [author] Rodríguez-González, Alejandro [author] Alor-Hernández, Giner [author] Gayo, José Emilio Labra [author] |
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E-Artikel |
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Englisch |
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2011 |
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Online-Ressource |
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IGI Global InfoSci Journals Archive 2000 - 2012 |
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In: International journal of decision support system technology - Hershey, Pa : IGI Global, 2009, 3(2011), 1, Seite 21-39 |
Übergeordnetes Werk: |
volume:3 ; year:2011 ; number:1 ; pages:21-39 |
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DOI / URN: |
10.4018/jdsst.2011010102 |
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NLEJ244460523 |
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10.4018/jdsst.2011010102 doi (DE-627)NLEJ244460523 (VZGNL)10.4018/jdsst.2011010102 DE-627 ger DE-627 rakwb eng Colomo-Palacios, Ricardo verfasserin aut Automated Diagnosis Through Ontologies and Logical Descriptions The ADONIS Approach 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios IGI Global InfoSci Journals Archive 2000 - 2012 Automated Diagnosis Logical Descriptions Medical Diagnosis Ontologies Semantic Technologies Semantic Web García-Crespo, Ángel author aut Gómez-Berbís, Juan Miguel author aut Rodríguez-González, Alejandro author oth Alor-Hernández, Giner author oth Gayo, José Emilio Labra author oth In International journal of decision support system technology Hershey, Pa : IGI Global, 2009 3(2011), 1, Seite 21-39 Online-Ressource (DE-627)NLEJ244418861 (DE-600)2703187-1 1941-630X nnns volume:3 year:2011 number:1 pages:21-39 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2011 1 21-39 |
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10.4018/jdsst.2011010102 doi (DE-627)NLEJ244460523 (VZGNL)10.4018/jdsst.2011010102 DE-627 ger DE-627 rakwb eng Colomo-Palacios, Ricardo verfasserin aut Automated Diagnosis Through Ontologies and Logical Descriptions The ADONIS Approach 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios IGI Global InfoSci Journals Archive 2000 - 2012 Automated Diagnosis Logical Descriptions Medical Diagnosis Ontologies Semantic Technologies Semantic Web García-Crespo, Ángel author aut Gómez-Berbís, Juan Miguel author aut Rodríguez-González, Alejandro author oth Alor-Hernández, Giner author oth Gayo, José Emilio Labra author oth In International journal of decision support system technology Hershey, Pa : IGI Global, 2009 3(2011), 1, Seite 21-39 Online-Ressource (DE-627)NLEJ244418861 (DE-600)2703187-1 1941-630X nnns volume:3 year:2011 number:1 pages:21-39 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2011 1 21-39 |
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10.4018/jdsst.2011010102 doi (DE-627)NLEJ244460523 (VZGNL)10.4018/jdsst.2011010102 DE-627 ger DE-627 rakwb eng Colomo-Palacios, Ricardo verfasserin aut Automated Diagnosis Through Ontologies and Logical Descriptions The ADONIS Approach 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios IGI Global InfoSci Journals Archive 2000 - 2012 Automated Diagnosis Logical Descriptions Medical Diagnosis Ontologies Semantic Technologies Semantic Web García-Crespo, Ángel author aut Gómez-Berbís, Juan Miguel author aut Rodríguez-González, Alejandro author oth Alor-Hernández, Giner author oth Gayo, José Emilio Labra author oth In International journal of decision support system technology Hershey, Pa : IGI Global, 2009 3(2011), 1, Seite 21-39 Online-Ressource (DE-627)NLEJ244418861 (DE-600)2703187-1 1941-630X nnns volume:3 year:2011 number:1 pages:21-39 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2011 1 21-39 |
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10.4018/jdsst.2011010102 doi (DE-627)NLEJ244460523 (VZGNL)10.4018/jdsst.2011010102 DE-627 ger DE-627 rakwb eng Colomo-Palacios, Ricardo verfasserin aut Automated Diagnosis Through Ontologies and Logical Descriptions The ADONIS Approach 2011 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios IGI Global InfoSci Journals Archive 2000 - 2012 Automated Diagnosis Logical Descriptions Medical Diagnosis Ontologies Semantic Technologies Semantic Web García-Crespo, Ángel author aut Gómez-Berbís, Juan Miguel author aut Rodríguez-González, Alejandro author oth Alor-Hernández, Giner author oth Gayo, José Emilio Labra author oth In International journal of decision support system technology Hershey, Pa : IGI Global, 2009 3(2011), 1, Seite 21-39 Online-Ressource (DE-627)NLEJ244418861 (DE-600)2703187-1 1941-630X nnns volume:3 year:2011 number:1 pages:21-39 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jdsst.2011010102&buylink=true text/html Abstract Deutschlandweit zugänglich ZDB-1-GIS GBV_NL_ARTICLE AR 3 2011 1 21-39 |
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The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios |
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The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios |
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The combination of the burgeoning interest in efficient and reliable Health Systems and the advent of the Information Age represent both a challenge and an opportunity for new paradigms and cutting-edge technologies reaching a certain degree of maturity. Hence, the use of Semantic Technologies for Automated Diagnosis could leverage the potential of current solutions by providing inference-based knowledge and support on decision-making. This paper presents the ADONIS approach, which harnesses the use of ontologies and the underlying logical mechanisms to automate diagnosis and provide significant quality results in its evaluation on real-world data scenarios |
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García-Crespo, Ángel Gómez-Berbís, Juan Miguel Rodríguez-González, Alejandro Alor-Hernández, Giner Gayo, José Emilio Labra |
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10.4018/jdsst.2011010102 |
up_date |
2024-07-06T07:58:30.383Z |
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