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https://www.sciencedirect.com/science/article/pii/S1319157813000116
This paper proposes an open and distributed clinical decision support system architecture. This technical architecture takes advantage of Electronic Health Record (EHR), data mining techniques, clinical databases, domain expert knowledge bases, available technologies and standards to provide decision-making support for healthcare professionals.Cited by: 31
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.4.6980&rep=rep1&type=pdf
building decision support systems, the use of distributed technologies often remains limited to extension services added to traditional, local DSS functionalities. In other words, distributed computing rarely change the intrinsic (and local) behavior of the DSS. In this paper, we propose new distributed decision support strategies impacting the
https://apps.dtic.mil/dtic/tr/fulltext/u2/a196613.pdf
database version of the processing system for such a tracking model will be discussed. Finally. plans for other possible experiments will be detailed. DISTRIBUTED TACTICAL DECISION SUPPORT MODEL Figure I, from reference 2, gives an overview of a possible Navy C2 information system, indicating the types of data elements used.
https://pdfs.semanticscholar.org/81d8/ca8c28afb21e8cec16952c79588c65c890c1.pdf
distributed Clinical Decision Support System (CDSS) architecture which satisfies the compatibility, interoperability, and scalability objectives of EHR. The proposed framework will take advantages of EHR, data mining techniques, clinical databases, domain experts’ knowledge bases, and available technologies and
https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-018-0415-1
Nov 20, 2018 · Compared with state-of-the-art distributed algorithms, CloudBWA achieves up to 2.63 times speedup over SparkBWA. Compared with stand-alone algorithms, CloudBWA with 16 cores achieves up to 11.59 times speedup over BWA-MEM with 1 core. GCDSS is a distributed gene clinical decision support system based on cloud computing techniques.Author: Bo Xu, Changlong Li, Hang Zhuang, Jiali Wang, Qingfeng Wang, Chao Wang, Xuehai Zhou
https://idc2019.ru/intelligent-distributed-decision-support-systems-(iddss).html
Call for papers: IDC-2019 Special Session on Intelligent Distributed Decision Support Systems (IDDSS) aims to serve as a platform for multi-disciplinary discussions on: • the problems of IDDSS multi-criteria analysis and synthesis;
https://www.researchgate.net/publication/224227674_ControlSem_-_distributed_decision_support_system_based_on_semantic_web_technologies_for_the_analysis_of_the_medical_procedures
ControlSem [15], a medical decision support system using Semantic Web technologies, was developed with the goal of controlling medical procedures. Similarly, in [16], the authors present a medical ...
https://www.igi-global.com/dictionary/automated-system-of-controlling-unmanned-aerial-vehicles-group-flight/73660
What is Distributed Decision Support System (DDSS)? Definition of Distributed Decision Support System (DDSS): A decision support system which supports distributed organizational decision making.
http://www.cs.ubbcluj.ro/~per/Dss/Dss_3.pdf
Decision Support System Description Characteristics and Capabilities 13. Access is provided to a variety of data sources, formats and types, including GIS, multimedia and object oriented. 14. Can be employed as a standalone tool used by an individual decision maker in one location or distributed throughout an organisation and in
https://en.wikipedia.org/wiki/Decision_support_system
A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e. unstructured and semi-structured ...
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