DETECTION OF DEPRESSION AND ANXIETY IN CHILDREN USING MACHINE LEARNING

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page DETECTION OF DEPRESSION AND ANXIETY IN CHILDREN USING MACHINE LEARNING Vaishnavi.R, Prof. Shankar.B S Abstract- Childhood mental disorders such as anxiety, depression and attention deficit disorder are commonly found amongst children. It is crucial to diagnose these problems at an early stage to ensure proper treatment and to prevent further complications. Machine learning techniques can be applied to analyze a patient's history, aiding in the diagnosis of the problem. In this research, three machine learning techniques have been identified and compared based on their performance in accurately diagnosing five common mental health disorders. The objective is to determine the most accurate technique. The dataset contains sixty attributes, but only twenty-five attributes were found to be important in diagnosing the disorders. By ignoring irrelevant attributes, the techniques were evaluated based on their performance on selected attributes. Downloads: | DOI: 10.17148/IARJSET.2023.10844 How to Cite: [1] Vaishnavi.R, Prof. Shankar.B S, "DETECTION OF DEPRESSION AND ANXIETY IN CHILDREN USING MACHINE LEARNING," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10844 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat