Summary of Illuminate: a Novel Approach For Depression Detection with Explainable Analysis and Proactive Therapy Using Prompt Engineering, by Aryan Agrawal
Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
by Aryan Agrawal
First submitted to arxiv on: 5 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces a novel paradigm for depression detection and treatment using advanced Large Language Models (LLMs) like GPT-4, Llama 2 chat, and Gemini. These models are fine-tuned with specialized prompts to diagnose, explain, and suggest therapeutic interventions for depression. The study employs a unique few-shot prompting method that enhances the models’ ability to analyze and explain depressive symptoms based on DSM-5 criteria. In the interaction phase, the models engage in empathetic dialogue management, drawing from resources like PsychDB and a Cognitive Behavioral Therapy (CBT) Guide, fostering supportive interactions with individuals experiencing major depressive disorders. The research also introduces the Illuminate Database, enriched with various CBT modules, aiding in personalized therapy recommendations. The study evaluates LLM performance using metrics such as F1 scores, Precision, Recall, Cosine similarity, and ROUGE across different test sets, demonstrating their effectiveness. This comprehensive approach blends cutting-edge AI with established psychological methods, offering new possibilities in mental health care. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about a new way to help people with depression. It uses special computer models called Large Language Models (LLMs) that can talk and understand human language. These models are trained to diagnose, explain, and suggest ways to treat depression. The study shows how these models work together to have conversations with people who are depressed, using information from psychologists and therapists. The goal is to create a new kind of therapy that combines the best of AI and human psychology. |
Keywords
* Artificial intelligence * Cosine similarity * Few shot * Gemini * Gpt * Llama * Precision * Prompting * Recall * Rouge
