@InProceedings{CarlesSanchez2018,
author="Carles Sanchez
and Miguel Vi{\~n}as
and Coen Antens
and Agnes Borras
and Debora Gil",
title="Back to Front Architecture for Diagnosis as a Service",
booktitle="20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing",
year="2018",
pages="343--346",
abstract="Software as a Service (SaaS) is a cloud computing model in which a provider hosts applications in a server that customers use via internet. Since SaaS does not require to install applications on customers{\textquoteright} own computers, it allows the use by multiple users of highly specialized software without extra expenses for hardware acquisition or licensing. A SaaS tailored for clinical needs not only would alleviate licensing costs, but also would facilitate easy access to new methods for diagnosis assistance. This paper presents a SaaS client-server architecture for Diagnosis as a Service (DaaS). The server is based on docker technology in order to allow execution of softwares implemented in different languages with the highest portability and scalability. The client is a content management system allowing the design of websites with multimedia content and interactive visualization of results allowing user editing. We explain a usage case that uses our DaaS as crowdsourcing platform in a multicentric pilot study carried out to evaluate the clinical benefits of a software for assessment of central airway obstruction.",
optnote="IAM; 600.145",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3360), last updated on Thu, 29 Apr 2021 11:17:20 +0200",
doi="10.1109/SYNASC.2018.00059",
opturl="https://ieeexplore.ieee.org/document/8750754",
file=":http://refbase.cvc.uab.es/files/SVA2018.pdf:PDF"
}