DataCite
metadata only
Study on Risk Prediction of Comorbidity of Major Chronic Diseases in Rural Elderly in China Based on Multi-label Deep Learning
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
- Identifying health risk profiles among older adults in Kerala using machine learning: multidimensional clustering, predictive determinants, and public health implications.#150283
- China Healthy Aging Cohort Study#991907
- Unveiling population heterogeneity in health risks posed by environmental hazards using regression-guided neural network.#440904
- Predicting major adverse cardiovascular and cerebrovascular events in chronic heart failure: a machine learning study.#276008
- A multidomain early warning model for 12-month adverse outcomes in older adults with multimorbidity: a risk-stratified public health approach.#1080572
Record · ID 26393
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