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Published in:
2020 | OriginalPaper | Chapter
A Development of Adolescent Depression Screening Using Naïve Bayes Classifier Algorithm
Authors : Samuel Garbo, Ha-Yeong Kim, Syntia Widyayuningtias Putri, Ermal Elbasani, Hye-Sun Ahn, Jeong-Dong Kim
Published in: Advances in Computer Science and Ubiquitous Computing
Publisher: Springer Singapore
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Abstract
Adolescent depression is a prevalent cause of illness and disability for teenagers. Getting treatment at the earliest sign helps prevent depression from worsening. Depression symptoms can be difficult to tell apart from ups and downs that are part of adolescence thus not being able to contact a professional at the earliest sign. Smartphone applications, are easily available to users of all ages. With an Android application we propose an easily accessible depression screening method for adolescents. Using a widely used depression scale and Naïve Bayes classifier, we compare previous data to the current situation of the user to produce an estimation of the user’s situation.