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Detection and Analysis of Depression in Women Using Machine Learning Approaches

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  • Km. Poonam

    (Department of Computer Science & Engineering, R.D Engineering College Ghaziabad Uttar Pradesh, India.)

  • Nitin Goel

    (Department of Computer Science & Engineering, R.D Engineering College Ghaziabad Uttar Pradesh, India.)

Abstract

Depression is a widespread mental health condition marked by ongoing sadness, reduced interest in activities, and emotional detachment. Unlike normal mood changes, it significantly impacts daily life, relationships, and productivity. This study presents a new, more reliable approach for identifying depression, which was tested using the Mental Screen Inventory. The method showed improved accuracy over existing techniques. The findings offer valuable insights for mental health professionals and researchers aiming to better understand and manage depression.

Suggested Citation

  • Km. Poonam & Nitin Goel, 2025. "Detection and Analysis of Depression in Women Using Machine Learning Approaches," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 14(7), pages 394-397, July.
    • Handle: RePEc:bjb:journl:v:14:y:2025:i:7:p:394-397
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