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Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politécnica de Madrid

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2 Papers

PATIENT-BASED LITERATURE RETRIEVAL AND INTEGRATION - A Use Case for Diabetes and Arterial Hypertension

Topics: Datamining; Decision Support Systems; Interoperability; Ehealth; Semantic Interoperability; Databases and Datawarehousing; Design and Development Methodologies for Healthcare IT; e-Health for Public Health

Authors: Ana Jimenez-Castellanos ¹ , Izaskun Fernández ² , David Perez-Rey ¹ , Elisa Viejo ³ , Francisco Javier Díez ² , Xabier García de Kortazar ² , Miguel García-Remesal ¹ , Víctor Maojo ¹ , Antonio Cobo ⁴ and Francisco del Pozo ⁵

Affiliations: ¹ Universidad Politécnica de Madrid, Spain , ² Tekniker-IK4, Spain , ³ Technical University of Madrid (CTB – UPM), Spain , ⁴ Technical University of Madrid (CTB – UPM); 4Biomedical Research Networking Center in Bioengineering and Biomaterials and Nanomedicine (CIBER –BBN), Spain , ⁵ Technical University of Madrid (CTB – UPM); Biomedical Research Networking Center in Bioengineering and Biomaterials and Nanomedicine (CIBER –BBN), Spain

Digital Object Identifier: 10.5220/0003132900330041

Proceedings of HEALTHINF 2011/BIOSTEC, ISBN: 978-989-8425-34-8

Quick Abstract

Specialized search engines such as PubMed, MedScape or Cochrane have increased dramatically the visibility of biomedical scientific results. These web-based tools allow physicians to access scientific papers instantly. However, this decisive improvement had not a proportional impact in clinical practice due to the lack of advanced search methods. Even queries highly specified for a concrete pathology frequently retrieve too many information, with publications related to patients treated by the physician beyond the scope of the results examined. In this work we present a new method to improve scientific article search using patient information. Two pathologies have been used within the project to retrieve relevant literature to patient data and to be integrated with other sources. Promising results suggest the suitability of the approach, highlighting publications dealing with patient features and facilitating literature search to physicians

Related Ontology Subjects/Areas/Topics (32)

Artificial Intelligence	Decision Support Systems	Ontologies and the Semantic Web
Biomedical Engineering	Design and Development Methodologies for Healthcare IT	Platforms and Applications
Business Analytics	e-Business	Semantic Interoperability
Cloud Computing	e-Health	Sensor Networks
Collaboration and e-Services	e-Health for Public Health	Signal Processing
Complex Systems Modeling and Simulation	Enterprise Information Systems	Simulation and Modeling
Data Engineering	Health Information Systems	Soft Computing
Data Mining	Integration/Interoperability	Software Agents and Internet Computing
Databases and Datawarehousing	Interoperability	Software and Architectures
Databases and Information Systems Integration	Knowledge Management and Information Sharing	Symbolic Systems
Datamining	Knowledge-Based Systems

ONTOLOGY BASED INTEGRATION OF DISTRIBUTED AND HETEROGENEOUS DATA SOURCES IN ACGT

Topics: Datamining; Decision Support Systems; Interoperability; Ehealth; Online Medical Applications; Telemedicine; Medical and Nursing Informatics; Confidentiality and Data Security; Wearable Health Informatics; Semantic Interoperability; Therapeutic Systems and Technologies; Physiological Modeling; e-Commerce in the Health Sector; Hospital Management Systems; Databases and Datawarehousing; Expert Systems in Healthcare; Cognitive Informatics; Affective Computing; Human-Machine Interfaces for Disabled Persons; Development of Assistive Technology for Independent Living; ICT for Cognitive Disabilities; ICT, Ageing and Disability; Socio-Economic Issues of Assistive Technology; Practice Based Research Methods for Assistive Technology

Authors: Luis Martín ¹ , Alberto Anguita ¹ , Víctor Maojo ¹ , Erwin Bonsma ² , Anca Bucur ² , Jeroen Vrijnsen ² , Mathias Brochhausen ³ , Christian Cocos ³ , Holger Stenzhorn ³ , Manolis Tsiknakis ⁴ , Martin Doerr ⁴ and Haridimos Kondylakis ⁴

Affiliations: ¹ Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politécnica de Madrid, Spain , ² Phillips Research, Healthcare System Architecture, Netherlands , ³ IFOMIS, Universität des Saarlandes, Germany , ⁴ Institute of Computer Science Foundation for Research and Technology - Hellas, Greece

Digital Object Identifier: 10.5220/0001045503010306

Proceedings of Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems 2008/BIOSTEC, ISBN: 978-989-8111-16-6

Quick Abstract

In this work, we describe the set of tools comprising the Data Access Infrastructure within Advancing Clinico-genomic Trials on Cancer (ACGT), a R&D Project funded in part by the European. This infrastructure aims at improving Post-genomic clinical trials by providing seamless access to integrated clinical, genetic, and image databases. A data access layer, based on OGSA-DAI, has been developed in order to cope with syntactic heterogeneities in databases. The semantic problems present in data sources with different nature are tackled by two core tools, namely the Semantic Mediator and the Master Ontology on Cancer. The ontology is used as a common framework for semantics, modelling the domain and acting as giving support to homogenization. SPARQL has been selected as query language for the Data Access Services and the Mediator. Two experiments have been carried out in order to test the suitability of the selected approach, integrating clinical and DICOM image databases.

Related Ontology Subjects/Areas/Topics (62)

Affective Computing	e-Business	Neurotechnology, Electronics and Informatics
Applications	e-Commerce in the Health Sector	Online Medical Applications
Artificial Intelligence	e-Health	Ontologies and the Semantic Web
Biomedical Engineering	Enterprise Information Systems	Physiological Computing Systems
Biomedical Signal Processing	Expert Systems	Physiological Modeling
Business Analytics	Health Engineering and Technology Applications	Platforms and Applications
Cardiovascular Technologies	Health Information Systems	Practice Based Research Methods for Assistive Technology
Cloud Computing	Hospital Management Systems	Semantic Interoperability
Cognitive Informatics	Human-Computer Interaction	Sensor Networks
Collaboration and e-Services	Human-Machine Interfaces for Disabled Persons	Signal Processing
Complex Systems Modeling and Simulation	ICT for Cognitive Disabilities	Simulation and Modeling
Computing and Telecommunications in Cardiology	ICT, Ageing and Disability	Socio-Economic Issues of Assistive Technology
Confidentiality and Data Security	Integration/Interoperability	Soft Computing
Data Engineering	Interoperability	Software Agents and Internet Computing
Data Mining	Knowledge Engineering and Ontology Development	Software and Architectures
Databases and Datawarehousing	Knowledge Management and Information Sharing	Software Engineering
Databases and Information Systems Integration	Knowledge-Based Systems	Symbolic Systems
Datamining	Medical and Nursing Informatics	Telemedicine
Development of Assistive Technology	Mobile Technologies	Therapeutic Systems and Technologies
Devices	Mobile Technologies for Healthcare Applications	Wearable Sensors and Systems
Distributed and Mobile Software Systems	Neural Rehabilitation