ClinicalTrials.gov
public full text
Public Domain
Early Detection of Infection Using the Fitbit in Pediatric Surgical Patients
The purpose of this study is to analyze Fitbit data to predict infection after surgery for complicated appendicitis and the effect this prediction has on clinician decision making.
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
- A Global Prospective Cohort Study on Outcomes of Appendicectomy for Appendicitis#1103720
- Finding Evidence to Treat Or Reassure in Appendicitis (FETOR)#891431
- Implementation of Risk Prediction Models Using Electronic Health Data for Early Detection of Pancreatic Cancer: A Prospective Pilot Feasibility Study.#1373770
- Prediction in epidemiology and medicine#735240
- Validation of Continuous Monitoring of Vital Signs in Children With a Connected Patch#879880
Record · ID 1339049
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