Search results for "Decision Support"

showing 10 items of 377 documents

Understanding the Health Disaster: Research Design for the Response to the 2014 West African Ebola Outbreak

2015

International audience; The 2014 Ebola outbreak in West Africa is the largest ever in history, affecting multiple countries and to this date, the World Health Organization has registered more than 6,500 deaths attributed to Ebola. The challenges arising from this outbreak to responders worldwide do not follow the standard characterisation or response patterns of natural sudden onset vs. conflict disasters. Rather, it is a medical emergency, which is intertwined with multiple challenges in the sectors decision-making, coordination, logistics and information management. In this paper, we present our research framework, which is based on desk research and initial interviews with responders. Th…

Information managementEbola Virus DiseaseEconomic growthOperations researchDisaster researchDecision SupportOutbreakCoordination and Information SharingGeneral MedicineWorld health3. Good healthWest africaHumanitarian LogisticsWest african[SPI]Engineering Sciences [physics]GeographyConceptual frameworkField researchHealth DisasterEngineering(all)
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Information management and complementary alternative medicine: the anatomy of information about CAMs through PubMed

2013

In recent years, there has been a growing interest about complementary and alternative medicine (CAM), and the use of CAM interventions has become more common among people. For these reasons, health professionals must be able to effectively manage information in this field of knowledge according to an evidence-based point of view. This study assessed the anatomy of the available information about CAMs using PubMed, to give practical instructions to manage information in this field. We also analyzed the anatomy of information according to each alternative medicine branch, narrow and broad search methods, subset filters for indexed-for-Medline and non-indexed citations, and different publicat…

Information managementmedicine.medical_specialtyPubMedInformation management; Meta-analysis; PubMed; RCTCAMPoint (typography)business.industryAlternative medicineIridologyAnatomyInformation overloadField (computer science)Decision Support Techniqueslaw.inventionMeta-analysisInformation managementRandomized controlled triallawEvidence-Based PracticeMeta-analysisEmergency MedicineInternal MedicinemedicinebusinessRCT
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Neural networks as effective techniques in clinical management of patients: some case studies

2004

In this paper, we present four examples of effective implementation of neural systems in the daily clinical practice. There are two main goals in this work; the first one is to show that neural networks are especially well-suited tools for solving different kind of medical/pharmaceutical problems, given the complex input output relationships and the few a priori knowledge about data distribution and variable relations. The second goal is to develop specific software applications, which enclose complex mathematical models, to clinicians; thus, the use of such models as decision support systems is facilitated. Four important pharmaceutical problems are considered in this study: identificatio…

Input/output0209 industrial biotechnologyDecision support systemArtificial neural networkbusiness.industryComputer science020208 electrical & electronic engineering02 engineering and technologyMachine learningcomputer.software_genreClinical decision support systemVariable (computer science)Identification (information)020901 industrial engineering & automationMultilayer perceptron0202 electrical engineering electronic engineering information engineeringA priori and a posterioriArtificial intelligencebusinessInstrumentationcomputerTransactions of the Institute of Measurement and Control
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Multiple Objective Analysis of Input-Output Models for Emergency Management

1990

This paper shows how a visual, interactive, dynamic multiple objective linear programming decision support system can effectively be used for analyzing input-output models. We have applied our approach to studying the quantitative effects of economic or political crises to the Finnish economy. Examples of such crises are nuclear power plant accidents, trade embargoes, and international conflicts. An input-output model of the Finnish economy with 17 industries (sectors) is employed. Our system has been implemented on a microcomputer and is being used by the National Board of Economic Defense. Several typical case situations are discussed.

Input/outputDecision support systemEmergency managementOperations researchLinear programmingbusiness.industryInput–output modelEconomic sectorComputerApplications_COMPUTERSINOTHERSYSTEMSManagement Science and Operations ResearchComputer Science Applicationslaw.inventionlawMicrocomputerNuclear power plantEconomicsOperations managementbusinessOperations Research
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Lecture Notes in Real-Time Intelligent Systems

2018

Intelligent computing refers greatly to artificial intelligence with the aim at making computer to act as a human. This newly developed area of real-time intelligent computing integrates the aspect of dynamic environments with the human intelligence. This book presents a comprehensive practical and easy to read account which describes current state-of-the art in designing and implementing real-time intelligent computing to robotics, alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowd sourcing, broadband systems, cloud computing, streaming data and many other applications areas. The solutions discussed in this book will encourage the resear…

IoTMultimediaComputer scienceRemote Access ControlIntelligent decision support systemStreaming DataCloud Computingcomputer.software_genreIntelligent SystemsMulti-agent SystemsNetworkingMobile Smart SystemsCrowdsourcingcomputerBroadband Systems
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Subsurface Drip Irrigation and ICT for the Innovative Irrigation Water Management: Application to a Citrus Crop (C. reticulata cv. Tardivo di Ciacull…

2020

Subsurface drip irrigation (SDI) is considered one of the most efficient irrigation systems because it allows the optimization of crop water productivity maximizing, at the same time, farmers’ economic benefit. However, to take full advantage of SDI systems it is necessary to prevent emitter obstructions caused by root intrusion, as well as to apply water-saving strategies, such as regulated deficit irrigation (RDI). Regarding the first aspect, manufacturers are claiming different techniques to protect emitters from root intrusion, such as mechanical barriers, addition with different chemical compounds into the emitter itself or chemicals into irrigation water. On the other hand, the applic…

Irrigation Decision Support SystemSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeICTSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSmart irrigationRegulated deficit irrigationSubsurface drip irrigation
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SEMANTIC MANAGEMENT OF INTELLIGENT MULTI-AGENTS SYSTEMS IN A 3D ENVIRONMENT

2011

8 pages; International audience; This paper presents a new approach combining the 3D elements composing the environment of mobile agents with semantic descriptors from Building Information Models. Our proposal is based on the IFC standard, which is used in the field of Civil Engineering to build digital models of buildings during the design phase. The semantic of IFC objects composing the 3D environment is used to select and set up 3D objects and elements of simulation scenarios. The result of this process dynamically generates the input files for the JaSIM environment that performs the simulation. These files deserve the representation of the virtual environment in which the simulation is …

Knowledge managementComputer sciencebusiness.industryOntology0211 other engineering and technologiesIntelligent decision support system02 engineering and technologySemantic interoperabilityOntology (information science)Semantic data modelSemantic gridBuilding information modelingHuman–computer interactionInformation model[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Intelligent Multi-Agents SystemsSemantic computing021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-MA ] Computer Science [cs]/Multiagent Systems [cs.MA]020201 artificial intelligence & image processing[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]businessKnowledge AcquisitionIndustry Foundation Classes
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MODULAR KNOWLEDGE REPRESENTATION IN ADVISOR AGENTS FOR SITUATION AWARENESS

2011

A modular knowledge representation framework for conversational agents is presented. The approach has been realized to suit the situation awareness paradigm. The modularity of the framework makes possible the composition of specific modules that deal with particular features, simplifying both the chatbot design process and its smartness. As a proof of concepts we have developed a modular, situation awareness oriented, KB for a conversational agent, which plays the role of an advisor aimed at helping a user to be in charge of a virtual town, inspired to the SimCity series game. The agent makes an extensive use of semantic computing techniques and is able to perceive, comprehend and project c…

Linguistics and LanguageDecision support systemKnowledge managementSituation awarenessKnowledge representation and reasoningComputer Networks and CommunicationsComputer sciencecomputer.software_genreModularityChatbotArtificial IntelligenceHuman–computer interactionSemantic computingDialog systemSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSituation awareness; conversational agents; decision support systemsbusiness.industryconversational agentModular designComputer Science ApplicationsSituation awarenebusinesscomputerdecision support systemsSoftwareInformation Systems
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On the Literature Divergences of the Humanitarian Supply Chain

2015

International audience; The field of humanitarian logistics has evolved rapidly over the past decade, drawing on contributions from the areas of operations research, business engineering, supply chain management, information systems, and computer sciences. Even more varied are the specific problems that are modeled and addressed, ranging monitoring of the supply chain as a whole to decision support for specific sourcing or distribution decisions. While recently, few studies have presented taxonomies and identified research gaps, there is to this date not yet a clear understanding of how the different methodologies and domains shall be combined to achieve a consistent mix of methods and tool…

Literature reviewDecision support systemProcess managementHumanitarian LogisticsSupply chain managementbusiness.industryComputer scienceSupply chainBusiness engineeringDistribution (economics)Operational researchBusiness engineeringField (computer science)Humanitarian supply chain[SPI]Engineering Sciences [physics]Information systembusiness
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Clinical practice format for choosing a second-line disease modifying anti-rheumatic drug in early rheumatoid arthritis after failure of 6 months' fi…

2006

International audience; BACKGROUND: The objective was to develop a clinical practice format for choosing a second-line disease-modifying anti-rheumatic drug (DMARD) after a 6-month course of a first-line DMARD in patients with early RA. METHODS: A panel of 34 experts selected treatment option from various scenarios using the Thurstone pairwise method. The experts had to choose between two proposed DMARDs without proposing other options. The scenarios were obtained using the three items: DAS28, rheumatoid factor status and radiographic structural damage. A sample of 240 among 480 scenarios for each expert was taken at random. Responses given by at least 20% of the experts were considered per…

MESH: Antirheumatic AgentsMESH: Treatment FailureDiseaseReceptors Tumor Necrosis FactorEtanerceptArthritis Rheumatoid0302 clinical medicineMESH: Practice Guidelines as Topic030212 general & internal medicineTreatment Failureskin and connective tissue diseasesMESH: Immunoglobulin GMESH: Arthritis RheumatoidAnti rheumatic drugs3. Good healthClinical PracticeMESH: Methotrexate[SDV.MHEP.RSOA]Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal systemRheumatoid arthritisAntirheumatic AgentsPractice Guidelines as TopicDrug Therapy CombinationLeflunomidemusculoskeletal diseasesmedicine.medical_specialtyMESH: Rheumatoid FactorFirst lineMESH: Drug Administration ScheduleDrug Administration ScheduleDecision Support Techniques03 medical and health sciencesRheumatologyRheumatoid FactorDmard therapymedicineRheumatoid factorHumansIntensive care medicine030203 arthritis & rheumatologyMESH: HumansMESH: Sulfasalazinebusiness.industryMESH: Biological MarkersMESH: Decision Support TechniquesEarly rheumatoid arthritisIsoxazolesmedicine.diseaseMESH: Receptors Tumor Necrosis FactorRadiographySulfasalazineMESH: Drug Therapy CombinationMethotrexateMESH: IsoxazolesImmunoglobulin GPhysical therapybusinessBiomarkersJoint bone spine
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