NCBI PubMed Central
open access
A pilot study on AI-based voice analysis for monitoring patients hospitalized with acute decompensated heart failure.
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
- Pre-Symptomatic Detection of Impending Decompensation in Heart Failure Through Voice Data#834521
- Predicting Future Organ Dysfunction in ICU Patients Using Temporal Convolutional Networks on MIMIC-IV Data#794106
- Predicting Future Organ Dysfunction in ICU Patients Using Temporal Convolutional Networks on MIMIC-IV Data#790087
- Dynamic Heart Failure Prediction With Real-time Functional Status Data in the Ambulatory Setting#1151918
- Voice-assisted artificial intelligence in cardiovascular disease management: a systematic review and meta-analysis protocol.#239584
Record · ID 338419
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