DEPRESSION DETECTION USING LOGISTIC REGRESSION

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dc.contributor.authorDWAYNE CHAN KING CHIU
dc.date.accessioned2026-04-21T03:14:13Z
dc.date.issued2025
dc.descriptionDepressive disorder, commonly known as depression, is one of the most prevalent mental disorders. Moreover, it can be challenging for an individual to determine if they are experiencing depression, as some symptoms overlap with those of other mental disorders or even physical illnesses. Thus, there is a need to develop a mobile application capable of determining user’s depression level with the use of Artificial Intelligence (AI). The proposed application will determine depression level by letting users answer several text-based questionnaires by relying on a machine learning technique such as logistic regression to determine depression level.
dc.identifier.urihttps://scholarhub.unimas.my/handle/123456789/404
dc.language.isoEnglish
dc.publisherUniversiti Malaysia Sarawak (UNIMAS)
dc.relation.ispartofseriesFaculty of Computer Science and Information Technology
dc.subjectdetection logistic
dc.titleDEPRESSION DETECTION USING LOGISTIC REGRESSION
dc.typeFinal Year Project

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