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The COVID-19 pandemic has significantly impacted mental health, leading to issues like depression, anxiety, and eating disorders, which, if untreated, can cause lifelong disabilities. To address this, a new model called H-DSS (Hybrid Decision Support System) is developed to predict and recommend treatments for mental health conditions. The proposed hybrid system has two parts: SPS (Stress Prediction and Support) and DRA (Decision Recommender Aid). SPS classifies individuals into mild, average, or severe mental health stages with additional + 3.45% improvement in accuracy. DRA then provides tailored recommendations. By combining machine learning classifiers (DT, kNN, Adaboost model), H-DSS helps healthcare professionals in making quick, accurate decisions to support those struggling with mental health, offering timely interventions based on the severity of their condition.

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Design and Implementation of a Hybrid Decision Support System (H-DSS) for Mental Health Prediction, Recommending Interventions, and Mental Stress Evaluation Using Machine Learning and H-DSS Classifier on the COVID-19 Dataset

  • 会议论文

  • 发表日期：

    2026年

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  • Poonam,
  • Neera Batra

摘要

The COVID-19 pandemic has significantly impacted mental health, leading to issues like depression, anxiety, and eating disorders, which, if untreated, can cause lifelong disabilities. To address this, a new model called H-DSS (Hybrid Decision Support System) is developed to predict and recommend treatments for mental health conditions. The proposed hybrid system has two parts: SPS (Stress Prediction and Support) and DRA (Decision Recommender Aid). SPS classifies individuals into mild, average, or severe mental health stages with additional + 3.45% improvement in accuracy. DRA then provides tailored recommendations. By combining machine learning classifiers (DT, kNN, Adaboost model), H-DSS helps healthcare professionals in making quick, accurate decisions to support those struggling with mental health, offering timely interventions based on the severity of their condition.