Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study.

Abstract excerpt

Background: Serious mental illnesses (SMIs) are associated with high relapse rates and limited access to continuous care, particularly in low-resource settings such as urban slums. Traditional clinical monitoring is constrained by accessibility and scalability challenges. Digital phenotyping, thr...

Topics

• Prospective Studies
• Feasibility Studies
• Poverty Areas
• Bangladesh
• Humans
• Male
• Female
• Recurrence
• Phenotype
• Smartphone
• Observational Studies as Topic
• Mental Disorders