Depression Detection Through Hybrid Learning Algorithms Using Multi-Model Data
Mrs. M. Therasa M.E.,(PhD)
, Dr.S.Hariharan , B.Maideshvar , , K.Krishnakumar , M.Muniasamy
Keywords-Depression, Insights, ML Algorithms
Abstract— Nowadays, most of the people are suffering from
depression due to changes in lifestyle, increased academic
expectations, genetic inheritance, improper diet and sleep,
etc., Depression is a Bipolar disorder, where the feeling of
sadness, emptiness, anger, helplessness and pessimism acts as
an indicator. The seriousness of depression can be identified
by the quantity of symptoms and their time period.
Depression can also lead to serious medical illness like heart
diseases, diabetes, cancer, etc., So, The earlier the diagnosis of
depression, the better the chance of treating people who are
affected. The detection is done using Data Science, which
helps to encompass various methods and draw out insights
from data. Data is collected in different forms like Text,
Speech and Video. After getting the input, data will be
processed using multiple Machine Learning Algorithms.
Based on the emotions expressed by the people, the level of
depression will be detected and displayed on the Browser.
"Depression Detection Through Hybrid Learning Algorithms Using Multi-Model Data", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.476-479, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001074.pdf
Volume 11
Issue 2,
February-2024
Pages : 476-479
Paper Reg. ID: TIJER_151065
Published Paper Id: TIJERB001074
Downloads: 000282
Research Area: Science and Technology
Country: thiruvallur ,chennai, Tamilnadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
