TY  - CONF
AU  - Carles Sanchez
AU  - Miguel Viñas
AU  - Coen Antens
AU  - Agnes Borras
AU  - Debora Gil
A2  - SYNASC
PY  - 2018//
TI  - Back to Front Architecture for Diagnosis as a Service
BT  - 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
SP  - 343
EP  - 346
N2  - 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' 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.
UR  - https://ieeexplore.ieee.org/document/8750754
L1  - http://refbase.cvc.uab.es/files/SVA2018.pdf
UR  - http://dx.doi.org/10.1109/SYNASC.2018.00059
N1  - IAM; 600.145
ID  - Carles Sanchez2018
ER  -