NCBI PubMed Central
open access
Development of an interpretable machine learning model for predicting stress urinary incontinence following the delivery of a first child.
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
- Challenges to overcome in a randomised trial for Proper Understanding of Recurrent Stress Urinary Incontinence Treatment in women: the PURSUIT RCT#1820
- USI and/or DO in Women With Cystocele Before and After Cystocele Repair#860408
- Study of Macroplastique Safety and Effectiveness in the Treatment of Female Stress Urinary Incontinence#1139928
- An explainable and latent space-based deep learning model for improved short-term load forecasting#374344
- Clinically interpretable prediction models of stroke functional outcomes: A national cohort study of adults in inpatient rehabilitation facilities in the US.#923607
Record · ID 354898
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