首页|New Data from Florida State University Illuminate Findings in Machine Learning ( Predicting Adherence To Gamified Cognitive Training Using Early Phase Game Perfo rmance Data: Towards a Justin- time Adherence Promotion Strategy)
New Data from Florida State University Illuminate Findings in Machine Learning ( Predicting Adherence To Gamified Cognitive Training Using Early Phase Game Perfo rmance Data: Towards a Justin- time Adherence Promotion Strategy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning.According to news originating from Tallahassee, Florida, by Ne wsRx correspondents, research stated, “This study aims to develop a machine lear ning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data.We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; ( 2) compare baseline characteristics and game performance indicators for adherenc e prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks.Research design and m ethod Using machine learning algorithms including logistic regression, ridge reg ression, support vector machines, classification trees, and random forests, we p redicted adherence from weeks 3 to 12.”
TallahasseeFloridaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningFlorid a State University
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