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Characterization of Features of Mobile Apps by Automated Extraction of Information from the Web

Abstract
Publication Date:
2017
abstract:
In the perspective to offer tools to assist patients and hearing healthcare professionals in informed adoption of apps for improved service delivery, our research develops methods to characterize apps and to identify their features. In this study, we developed an automated method to extract apps' features directly from the Web.
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
e-health; m-health; apps; hearing; app stores; information extraction; natural langua; metamap
List of contributors:
Tognola, Gabriella; Paglialonga, Alessia
Authors of the University:
PAGLIALONGA ALESSIA
TOGNOLA GABRIELLA
Handle:
https://iris.cnr.it/handle/20.500.14243/330251
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