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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: Mental Health Treatment Recommendation System Using Gradient Boost
Authors Name: Kamal Nadh Lukka , Vana Chandana , Lukesh Praveen , Divya Sri , G.Bharathi
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IJRTI_202056
Published Paper Id: IJRTI2504050
Published In: Volume 10 Issue 4, April-2025
DOI:
Abstract: Modern civilization is plagued by mental health problems, which calls for creative ways to support early identification and care. In this paper, a machine learning-based mental health treatment recommendation system is presented. Based on employment and demographic data, the system uses a Gradient Boosting Classifier to forecast a person's risk of needing therapy. Comprehensive data preprocessing, feature engineering, and pipeline-based model training are important procedures. The suggested system's 79.7% prediction accuracy shows that it has the ability to help both individuals and organizations effectively handle mental health issues.
Keywords: ML, randomforest, classification, mental health detection, predictive model, flask, data preprocessing.
Cite Article: "Mental Health Treatment Recommendation System Using Gradient Boost ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a346-a349, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504050.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2504050
Registration ID:202056
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a346-a349
Country: vijayawada,520007, Andhra Pradesh, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504050
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504050
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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