Advanced Analysis of Depression in Women Using e-LSTM and All-Lexicon LR Classifiers

Mental illness like depression is frequent. It is extended dissatisfaction, declining pleasure, or apathy to once-pleasurable activities. Not all mood swings are depression. It might influence family and neighbor ties. It may cause work or school issues. Depression affects everyone. Depression is increased by trauma like abuse or catastrophic loss. Depression affects women more than males. Survey data analysis may predict anxiety and depression. Self-harm may decrease with mental health diagnosis and prediction. Depression is emotional. It might be feelings. affect daily life, including wrath, sorrow, and despair. Also, common. According to CDC Trusted Source, 18.5% of Americans had depressed symptoms every two weeks in 2019. Depression is distinct from melancholy after a catastrophe or family loss, despite its similarities. Lose loved one. Grief should not make us feel bad or lose ourselves. Low self-esteem is common in depression. Many happy events accompany emotional distress. Remembering good times and pain. The following circumstances may aggravate depression: RA, asthma, CVD. Metabolic syndrome, obesity Understanding depression’s nature is key. Everyone feels sad and miserable. The ensemble binary classifier beat all baseline strategies in all trials and metrics. Processed depression dataset trained proposed ensemble model. Study links women’s expected quality of life markers to depression. The Ensemble model performed best with 75.64% accuracy and 0.7595 F1 Score. Integration of numerous models improves efficiency and generalizability. From 64.25% accuracy and 0.6595 F1 Score, the LSTM model performs 52.48% and 0.5513. Even the All Lexicons LR model, with an F1 result of 0.7296 and accurateness of 74.15%, behind the Ensemble model.