Beck Depression Inventory

The Beck Depression Inventory (BDI) is a widely used questionnaire for assessing depression severity, and current research focuses on leveraging its structure to improve depression detection and diagnosis. Studies utilize machine learning models, including BERT, Longformer, and various neural networks (CNNs, LSTMs), to analyze diverse data sources such as social media text, speech acoustics, and even synthetic data generated by LLMs, aiming to predict individual BDI symptom scores and overall severity. This research holds significant promise for developing more efficient and objective diagnostic tools, potentially improving the speed and accuracy of depression assessment and ultimately enhancing patient care.