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A Data-Driven Approach to Depression and Quality of Life Assessment Using Machine Learning

EasyChair Preprint 12735

9 pagesDate: March 27, 2024

Abstract

research proposal introduces an innovative application that utilizes machine learning to assess an individual's depression level and quality of life in real-time. The application offers personalized insights into the user's mental health and utilizes a distributed ledger system (DLS) that ensures data protection through decentralization and tamper-proof features, safeguarding it from unauthorized access. Additionally, the app utilizes models to provide tailored recommendations and interventions for enhancing mental health and overall well-being. Users will benefit from personalized guidance, including lifestyle adjustments, mindfulness exercises, and access to professional support.

Keyphrases: Depression recommendation, mental health, quality of life

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:12735,
  author    = {Paritosh Sahu and Naman Kumar Sharma and T Balachander},
  title     = {A Data-Driven Approach to Depression and Quality of Life Assessment Using Machine Learning},
  howpublished = {EasyChair Preprint 12735},
  year      = {EasyChair, 2024}}
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