NCBI Bookshelf
open access
Identifying Topics in Patient and Doctor Conversations Using Natural Language Processing Methods
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Improving patient communication and understanding of medical reports through text simplification with ChatGPT: a comparative study.#1107385
- Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review.#362347
- GraphMed-LT: Patient-Specific Graph Memory with Latent Clinical Thought Refinement for Multi-Turn Medical Conversations#665548
- GraphMed-LT: Patient-Specific Graph Memory with Latent Clinical Thought Refinement for Multi-Turn Medical Conversations#664048
- Physicians' expectations of the use of conversational agents in healthcare: a qualitative study.#1099
Record · ID 1952
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive