MHA: Mobile Application-Based Analysis of Mental Disorders

Meenu Gupta · Rakesh Kumar · Manas Khare · Ahmed J. Obaid

5 citations0/0 files storedInternational Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)

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Digital Mental Health Interventions Mental Health Treatment and Access Mobile Health and mHealth Applications

Abstract

Depression is a common mental illness characterized by persistent melancholy and behavioral changes, leading to the need for effective tracking and treatment methods. Many Mobile Applications (MA) are currently designed to support depression-affected people. An investigation of depression help-seeking was conducted on the two most popular App Stores (AS), resulting in the selection of 216 apps. These apps were designed to identify their strengths, shortcomings, gaps, trends, and quality. This study found various uses for mobile apps, including chatbots, educational resources, online therapy, mood monitors, testing, and self-help. This study emphasizes the importance of developing mobile apps to support people with depression due to its high burden on the global population. The study findings could help develop or improve existing mobile apps to support individuals with depression. This research contributes to our understanding of the potential of mobile apps in managing and treating depression.

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2017Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning 2016A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression 2014Mobile phones as medical devices in mental disorder treatment: an overview 2021A Support Vector Machine Approach for Effective Bicycle Sharing in Urban Zones 2017Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness

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