An example of the use of Public Health Grid (PHGrid) technology during the 2009 H1N1 influenza pandemic

Boyd, Terry; Lee, Brian; Savel, Thomas G.; Stinn, John; Kesarinath, Gautam

doi:10.1504/ijguc.2011.040602

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…It has also been central to timely integrate disparate public health information systems from diverse geographic regions to better address emerging public health threats (e.g., the US Centers for Disease Control explored a decentralised information architecture using the Public Health Grid) (Boyd et al, 2011).…”

Section: Figure 3: Evolution Of Citations Between 2009 and 2019mentioning

confidence: 99%

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Rosário¹,

Vilaça²,

Raimundo³

et al. 2021

EJKM

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Health care institutions (HCI in further text) are in constant interplay with their context, generating ensuing opportunities and threats. Knowledge management has been paramount when it comes to integrating state-of-art technologies in order to improve system efficiency and decision processes in hospital management outputs. Thus, it is pivotal to explain the role of knowledge management in hospital management. Research of peer-reviewed articles published from 2009 to 2019, and obtained via the Scopus database, was carried out based on two key subjects, ‘knowledge management’ and ‘health care institutions’. The research was performed through a descriptive, quantitative and qualitative analysis of the most cited 47 scientific articles found in the SCOPUS database. We conclude that 'knowledge management' (KM in further text) has become an important research area in terms of HCI management. The article identifies the central themes in KM research in HCI. However, the area on KM literature is highly fragmented, requiring development. Based on an analysis of the collected literature, we identified the key research themes and resulting development patterns, namely, the integration and interoperability of knowledge from different sources into a single platform, occupational safety, the need to ascertain quality and pertinent information among general web information, culture and social behaviour and data security. We posit that KM effectively facilitates the utilization of healthcare information resources and management decision making in hospitals.

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Section: Figure 3: Evolution Of Citations Between 2009 and 2019mentioning

confidence: 99%

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Rosário¹,

Vilaça²,

Raimundo³

et al. 2021

EJKM

View full text Add to dashboard Cite

show abstract

“…PACS are only one of the sources of medical data, that contains different types of scans as images, such as ultrasounds, magnetic resonance (MR), computed tomography (CT), endoscopy and others. Besides PACS there are a lot more medical data sources, like patient medical history or treatments evaluation [15], [16] and therefore large scale processing is sought [7]. Given this high data volume, several experiments that used the Hadoop framework in order to extract relevant medical data have been conducted so far.…”

Section: B Application Examples 1) Log Data Processingmentioning

confidence: 99%

Performance Evaluation of Mahout Clustering Algorithms Using a Twitter Streaming Dataset

Xhafa

Bogza

Caballé

2017

2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)

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'ús personal d'aquest material. S'ha de demanar permís a l'IEEE per a qualsevol altre ús, incloent la reimpressió/reedició amb fins publicitaris o promocionals, la creació de noves obres col·lectives per a la revenda o redistribució en servidors o llistes o la reutilització de parts d'aquest treball amb drets d'autor en altres treballs. Abstract-Big Data has become commonplace in most Internet-based applications, which by delivering services to planetary scale numbers of users generate very large data sets. Such data sets are considered as a valuable source of analytics information and knowledge for many purposes and domains. It is claimed each time more that Big Data and machine learning, especially data mining, are the basis for developing advanced analytics platforms for turning data into valuable assets, gaining competitive advantage and make better decisions. At the same time, however, Big Data applications are showing to be killer applications for the state of the art machine learning and data mining algorithms. Indeed, traditional data mining frameworks such as WEKA, R, etc. and those from big companies such as IBM SPSS Modeler, SAS Enterprise Miner, Oracle Data Mining, etc. are facing the challenges of 1) coping with mining large data sets within short times and 2) under high rates of data generation. The way envisaged ahead to effectively deal with such challenges is to move to Cloudbased versions of such frameworks and development of new frameworks implemented using Cloud platforms. In either case, data mining and machine learning algorithms are being fully implemented in Cloud platforms under new requirements of Big Data for efficiency and performance. In the group of newly developed frameworks there is Apache Mahout, whose goal is "to build an environment for quickly creating scalable performant machine learning applications". In this paper we analyse the performance of some clustering algorithms of Apache Mahout using a Twitter streaming dataset under a Hadoop MapReduce cluster infrastructure according to various evaluation criteria.

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Automatic Verification of Security of OpenID Connect Protocol with ProVerif

Zhang

et al. 2016

Advances on P2P, Parallel, Grid, Cloud and Internet Computing

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An example of the use of Public Health Grid (PHGrid) technology during the 2009 H1N1 influenza pandemic

Cited by 5 publications

References 8 publications

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Performance Evaluation of Mahout Clustering Algorithms Using a Twitter Streaming Dataset

Automatic Verification of Security of OpenID Connect Protocol with ProVerif

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