Automated Characterization of Mobile Health Apps' Features by Extracting Information From the Web: An Exploratory Study

Conclusions These preliminary results suggested the viability of automated characterization of apps based on text analytics and highlighted directions for improvement in terms of classification rules and vocabularies, analysis of semantic types, and extraction of key features (promoters, services, and users). The availability of automated tools for app characterization is important as it may support health care professionals in informed, aware selection of health apps to recommend to their patients. (Source: American Journal of Audiology)

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