Sökning: "Max Ålander"

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  1. 1. The use of Machine Learning Algorithms for Adaptive Question Selection in Questionnaire-based Mental Health Data Collection Apps

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Alexander Tallroth; Max Ålander; [2016]
    Nyckelord :machine learning; genetic algorithms; random forest; feature selection; mental health; apps; Technology and Engineering;

    Sammanfattning : This report discusses the implementation of machine learning algorithms for personalising question selection in a questionnaire-based self-report app for individuals suffering from mental health issues. A so-called \textit{Random Forest - Genetic Algorithm} (RFGA) hybrid prediction method is used to find an optimal set of relevant questions to pose to new users in the app. LÄS MER