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- W2094512897 abstract "This paper presents an online system that aims to recommend suitable audio-therapy to improve mental states of a user. It is designed and implemented with a capacity to analyse user's current mental states and based on the acquired result, recommend a suitable audio-therapy for the user. The web based system was developed with a number of components. The core engine of the system is an online questionnaire component used to determine the user's current mental states and an audio-therapy matching component. The latter is driven by an algorithm created to match the user's score derived from the answered questionnaire to suitable therapy audios, recommended for the purpose of improving the user's mental states. The system was implemented using database-driven PHP server script, enabling dynamic functionalities and features offered to both end-users and psychiatrists." @default.
- W2094512897 created "2016-06-24" @default.
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- W2094512897 date "2012-07-01" @default.
- W2094512897 modified "2023-09-27" @default.
- W2094512897 title "Web-based adaptive audio-therapy recommender system" @default.
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- W2094512897 doi "https://doi.org/10.1109/icsgrc.2012.6287167" @default.
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