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Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale.

Ahmad RaeesiReza KhajoueiLeila Ahmadian
Published in: BMC medical informatics and decision making (2022)
The HIV/AIDS mobile applications available in Iran had the "acceptable" ranking. Also, our study results showed that to evaluate mobile apps, using a single tool may not provide good insight to evaluators about the assessed apps. However, using more than one tool may provide more details about the evaluated apps. To improve the quality of mobile health apps and help users select the most desirable app, we suggested using tools like FARM for ranking apps based on the features of each app in the app stores.
Keyphrases
  • hiv aids
  • antiretroviral therapy
  • human immunodeficiency virus
  • machine learning
  • hiv infected
  • deep learning
  • hepatitis c virus