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Title:
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ASSESSMENT OF ADHD IN A SAMPLE OF ADULTS THROUGH A COMPUTER GAME AND DATA MINING TECHNIQUES |
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Author(s):
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Fábio Santos, Ângela Bastos,Leila Andrade,Kate Revoredo, Paul Mattos |
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ISBN:
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978-989-8533-06-7 |
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Editors:
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Hans Weghorn, Leonardo Azevedo and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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ADHD, Data mining, Game, Executive Dysfunction, Adults |
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Type:
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Full Paper |
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First Page:
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249 |
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Last Page:
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256 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this work, we argue that through a computer game, named Supermarket Game, initially developed to identify adysexecutive syndrome, one can aid in the diagnosis process of Attention-Deficit Hyperactive Disorder in adults. OBJECTIVE: To verify the predictive capabilities of the game, in a sample of university students aged to years through Data Mining techniques. METHOD: university students underwent stages in an experiment: a medical diagnosis and a playing session. The games data was processed by Data Mining algorithms. Each algorithm yields several prediction models, according to the hypothesis being considered. The medical diagnosis was used as a gold standard test to verify the prediction capability of the Data Mining techniques in the games data. RESULTS: With all attributes in numeric format we obtained poor prediction performance. When the numeric attributes were discretized, as light improvement was observed. Considering only classes, we had a considerable gain in performance, mainly in the calibration metric. Our best result was obtained considering only the attributes of Time Spent in each stage of the game and the K*algorithm. CONCLUSION: The Supermarket Game seems to be sensitive in the task of identifying ADHD cases in adults, although its capability to classify the disorder subtypes has not been verified yet. |
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