Support Systems for Diagnosis and Intervention [44027]
Gil Resina, Debora
Martí Godia, Enric
Hernández Sabaté, Aura
Universitat Autònoma de Barcelona. Escola d'Enginyeria

Fecha: 2018-19
Resumen: An important area of application within IoT for digital health are the systems of support to the clinical decision making (diagnosis and intervention). To facilitate its use in the largest number of clinical centers, these systems are beginning to develop as a service in the cloud (Diagnosis as a service). This module provides the student with the necessary techniques through use cases. A cloud diagnostic service requires a client application that allows the interactive visualization of large volumes of augmented multimodal data with clinically relevant information extracted using AI-specific techniques and processing Image in the cloud. AI techniques and image processing should be able to customize the models for each patient efficiently in order to have all the information in the same intelligent intervention room that allows the doctor to interact with the application without Alter the usual protocol. In addition, the clinical validation of the system requires the use of statistical techniques that allow to contemplate the variability between clinical experts and possible replicas in the experimental design.
Derechos: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Lengua: Anglès.
Titulación: 4316624 [4316624]
Plan de estudios: 1391 [1391]



Anglès
3 p, 71.8 KB

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 Registro creado el 2018-09-14, última modificación el 2018-10-20



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