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Andrea Morales-Garzón

Biographic Data

ID9530861
NAMEAndrea Morales-Garzón
GIVEN NAMESAndrea
FAMILY NAMEMorales-Garzón
SIGNATUREMORALES-GARZÓN A
AFFILIATIONSUniversidad de Granada
ORCID0000-0002-3458-0694
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Forecasting user perceptions of mHealth apps

    Open Access•Miriam Alzate, Paula Vidaurreta-Apesteguia et al.•ARTICLE•Technological Forecasting and…•2026

    User perceptions of mHealth apps are critical for forecasting adoption trends, optimizing app design, and evaluating their broader societal implications for public health and digital inclusion. Understanding how users engage with these applications is essential for their sustained use. This research incorporates AI-driven methodologies to systematically analyze large-scale user-generated content (UGC), providing predictive insights into consumer …

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  • Forecasting user perceptions of mHealth apps

    Open Access•Miriam Alzate, Paula Vidaurreta-Apesteguia et al.•ARTICLE•Technological Forecasting and…•2026

    User perceptions of mHealth apps are critical for forecasting adoption trends, optimizing app design, and evaluating their broader societal implications for public health and digital inclusion. Understanding how users engage with these applications is essential for their sustained use. This research incorporates AI-driven methodologies to systematically analyze large-scale user-generated content (UGC), providing predictive insights into consumer …

Analytics (1 work) · Digital content (1 work) · Digital health (1 work) · Digital Mental Health Interventions (1 work) · Innovative Human-Technology Interaction (1 work) · mHealth (1 work) · Mobile Health and mHealth Applications (1 work) · Perception (1 work) · Topic model (1 work) · User satisfaction (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae