JOURNAL ARTICLE

Sistem Pakar Diagnosa Gangguan Hiperaktif Pada Anak Dengan Metode Naive Bayes Berbasis Web

Abstract

Disorder concentration attention or better known as ADHD (Attention Deficit Hyperactivity Disorder) is one of the main psychiatric problems that are often found in children. Hyperactive disorders are usually seen in children and as we get older the more difficult to deal with. There were 3 hyperactive disorders taken in this study namely hyperactivity, Impulsivity, Inattetion (Personality Problems). To help diagnose these hyperactive disorders, an expert system application is made to diagnose hyperactive disorders in children that can facilitate the public in diagnosing hyperactive disorders in children. Making this web-based expert system application uses the Naive Bayes method. The Naive Bayes method is a simple opportunity classification based on the application of the Bayes theorem with the assumption that between variables (independent) the presence or absence of a particular event from a group is not related to the presence or absence of other events. The final results are given in the form of a percentage of the diagnosis of hyperactivity in children.

Keywords:
Impulsivity Naive Bayes classifier Psychology Attention deficit hyperactivity disorder Bayes' theorem Web application Clinical psychology Psychiatry Machine learning Artificial intelligence Computer science Bayesian probability World Wide Web

Metrics

8
Cited By
0.61
FWCI (Field Weighted Citation Impact)
6
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Edcuational Technology Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Decision Support System Applications
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Data Mining and Machine Learning Applications
Physical Sciences →  Computer Science →  Information Systems

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