Search
89 articles for “Depression”
-
Assessment of exacerbation of Depression in pulmonary tuberculosis patients by using PHQ-9 scale at Tertiary Care Hospital
Abstract: Context: Depression leads to more dysfunction and stress, which could affect the patient's life condition. Tuberculosis is a leading cause of comorbidity with depression. Those suffering from tuberculosis and depression are at higher risk of bad health-seeking nature, resulting in higher morbidities, drug resistance, and mortality. The relationship is not well established. Aims: To identify multiple variables/ dependent factors affecting depression respectively in tuberculosis patients and check the medication adherence …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 24–31 Read article
-
AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
-
Exploring the Therapeutic Potential of Ilāj-Bil-Ghizā (Dietotherapy) in Depression: A Systematic Review
Abstract: Background: Depression is a common mental health condition characterized by feelings of sadness, diminished interest in activities, and physical symptoms that disrupt daily activities functioning. Emerging research indicates that nutrition and dietary habits can significantly influence the management of depression. This review aims to explore the connection between diet and mental health, highlighting how nutritional approaches may complement traditional treatments for depression. Objective: This review aims to evaluate the relationship …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
-
The potential Role of Antidepressant Medications in DNA Oxidation of Depression Disorder Cases
Abstract: Oxidative stress and DNA oxidation is a main target of different medications side effect, the current work aims to evaluate the potential role of anti-depressed medications in DNA oxidation in depression disorder cases, reactive oxygen species (ROS), total antioxidant (TAO) and 8-oxo deoxyguanine (8-oxo-dG) were detected in depressed disorder cases that treated with different medications included clomipramine, tryptizol, fluxetin, olanzapine, tryptizol with fluxetin, tryptizol with olanzapine and other types of …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 41–47 Read article
-
Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
-
Impact of Counseling on Cancer Patient’s Depression Level
Abstract: Introduction: When given the dreaded and possibly fatal cancer diagnosis, patients go through a great deal of pain. Depression is one of the psychiatric problems that can arise after a cancer diagnosis. The purpose of the current research is to evaluate how well counseling therapy can lower depression levels in cancer patients. Methodology: Geetanjali Hospital in Udaipur provided the data for this study, which utilized a single-group, quasi-experimental analysis employing …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
-
Face Emotion Recognition to Detect Depression
Abstract: In the current competitive world, one of the most familiar and grave mental illness we encounter in humans is Depression also called as major depression or major depressive disorder. It makes you feel depressed and disinterested all the time, which has a bad impact on your thoughts and behaviour. Thus affecting not only the victim but also people associated with them, such as family, friends and society. If not treated …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 1–14 Read article
-
The Hidden Struggle: Premenstrual Depression its Impact on Women’s Health and Management Strategies: A Narrative Review.
Abstract: Background: Premenstrual depression, including Premenstrual Syndrome (PMS) and Premenstrual Dysphoric Disorder (PMDD), represents a significant yet underrecognized contributor to women’s mental health burden. Hormonal fluctuations during the luteal phase interact with neurotransmitter systems, particularly serotonin and GABA, leading to affective and somatic symptoms that impair daily functioning. Objective: This systematic review synthesizes evidence on the prevalence, pathophysiology, psychological impact, and management strategies of premenstrual depression among reproductive-aged women, with particular …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 21–32 Read article
-
Therapeutic Efficacy of Artificial Intelligence based Counselling for Anxiety and Depression: A Systematic Review
Abstract: Background: The occurrence of the COVID-19 pandemic resulted in a notable rise in the prevalence of mental health issues, majorly anxiety and depression. Treatments like cognitive behavioural therapy (CBT) conducted in a face-to-face setting, have consistently demonstrated their effectiveness. Though not always accessible or reasonably priced for everyone, face-to- face treatment environments offer great assistance. AI-based counselling is starting to be a good replacement for those in need of real-time, …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 8–16 Read article
-
A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
-
A Review: Homeopathic Remedies and Their Potential Neurological Implications in Depression and Asthma
Abstract: Homeopathy, based on the principle “like cures like”, has gained popularity as a complementary treatment for chronic diseases, including depression and asthma. Both health conditions have a profound impact on the quality of life of individuals and are often treated with pharmacological interventions such as antidepressants and bronchodilators. This review reviews homeopathic remedies used to treat depression and asthma, evaluating the available clinical evidence. Although some studies suggest that homeopathy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 15–20 Read article
-
Depression Detection using Machine Learning: A Comprehensive Review
Abstract: Depression is a leading mental health disorder worldwide, often underdiagnosed due to subjective assessment methods. The increasing availability of digital behavioral data and the advancement in machine learning (ML) have opened new avenues for automated depression detection. This review presents a comprehensive overview of recent developments in ML- based approaches for detecting depression. It explores data sources, feature extraction techniques, learning algorithms, evaluation methods, and highlights current challenges and future …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 Read article
-
Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
-
Role of Neuropeptides in the Treatment of Major Depression Disorder: The Recent Updates
Abstract: Revelation of the part of neuropeptides as signaling atoms within the nervous system raised trust within the pharmaceutical field approximately 25. long time back Many neuropeptides, especially CRH, AVP, and substance P . whose receptors are presently focused on by little atoms to diminish side effects of discouragement and uneasiness, shows up to be related to the improvement and movement of temperament disarranges trouble. Neurotrophins, not exactly neuropeptides, may also …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 1–12 Read article
-
Influence of Social Media on Anxiety, Depression, and Loneliness: A Review
Abstract: Social media is a daily tool for communication, entertainment, and information exchange for millions of individuals worldwide. However, worries regarding its possible detrimental effects on mental health have surfaced, especially about despair, anxiety, and loneliness. This study's goal was to examine the connection between mental health issues and social media use. It highlights the clear connection between elevated psychological discomfort—such as anxiety, depression symptoms, loneliness, and overuse of social media—and …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 22–27 Read article
-
Exploring the Role of MAPK3 in Major Depressive Disorder: Molecular Docking, Dynamics, and Binding Free Energy Analysis of Natural Compounds as Alternatives to Conventional Drugs
Abstract: Major Depressive Disorder (MDD) is a prevalent neuropsychiatric disorder with limited treatment efficacy and significant side effects associated with conventional antidepressants. Recent studies have highlighted the role of mitogen-activated protein kinase 3 (MAPK3) in the mechanisms underlying MDD, positioning it as a potential target for the development of novel therapeutic drugs. In this study, we employed various computational approaches to explore natural compounds as viable alternatives to synthetic antidepressants. Researchers …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 53–68 Read article
-
Global Burden of Major Depressive Disorder: Prevalence, Diagnosis, and Impact: A Comprehensive review
Abstract: In this review, we will discuss about the major depressive disorders on the basis of neurobiological changes. MDD, a prevalent psychiatric condition, manifests as a complex interplay of genetic, environmental, and physiological factors with a substantial impact on individuals and societies globally. Here the clinical assessment is fully based on diagnosis and the statistical manual for mental disorder, 5th edition (DSM-5). The pathophysiology involves Diagnosis alterations in neurotransmitter systems, dysregulation …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 54–62 Read article
-
Unveiling Nature’s Potential: In Silico Exploration and Identification of Herbal Remedies for Major Depressive Disorder Through Molecular Interaction Studies
Abstract: Major depressive disorder (MDD), a globally discussed mental health condition, has drawn significant attention because of its unique and intricate nature. This is marked by the enduring presence of negative emotions stemming from a lack of interest, diminished self-esteem, and excessive rumination. Despite the widespread availability of various antidepressant medications, their effectiveness is hindered by low response rates, prolonged treatment durations, and the prevalence of side effects, such as headaches, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 54–62 Read article
-
Computational Investigation of Phytochemicals Targeting AKT1 for Major Depressive Disorder: A Molecular Docking and ADMET Study
Abstract: Major depressive disorder (MDD) is a prevalent neuropsychiatric condition affecting approximately 280 million individuals worldwide, with women exhibiting a 50% higher likelihood of diagnosis than men. Despite significant advancements in treatment, MDD remains a chronic and relapsing disorder, necessitating the exploration of novel therapeutic interventions. This study focuses on the AKT1 gene, a key player in neuropsychiatric disorders, and investigates its interactions with natural phytochemicals as potential alternatives to conventional …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
-
Exploring Psychotropic Trends of Medication Use in Psychiatric Outpatients: An Observational Study at a Tertiary Care Hospital
Abstract: Background: Psychotropic medications are essential in managing a wide range of psychiatric disorders, including depression, anxiety, bipolar disorder, and schizophrenia. Prescribing habits in outpatient clinics can differ a lot depending on things like the patient’s age, background, and medical conditions. Aim: This study aims to explore the trends in psychotropic medication use among psychiatric outpatients at a tertiary care hospital, with a focus on understanding prescribing patterns, demographic factors, and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 15–23 Read article