eldorado

Feasibility of Continuous Non-invasive Delivery of Oxygen Monitoring in Cardiac Surgical Patients

https://github.com/felcsw/eldorado

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Feasibility of Continuous Non-invasive Delivery of Oxygen Monitoring in Cardiac Surgical Patients

Basic Info
  • Host: GitHub
  • Owner: Felcsw
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 66.4 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created about 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

DOI

ELDORADO Extraction and Integration Code

The ELDORADO Extraction and Integration Code is a novel algorithm that integrates non-invasive, continuous monitoring of cardiac output (CO), hemoglobin (SpHb), and oxygen saturation (SpO2) to derive real-time oxygen delivery (DO2) trends.

Permission from the author is required for any non-commercial and commercial use of the code, whether in part or in whole. Permission can be obtained from - A/Prof Sophia Chew Tsong Huey - Email address: sophia.chew.t.h@singhealth.com.sg

Owner

  • Login: Felcsw
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Chew"
  given-names: "Sophia Tsong Huey"
  orcid: "https://orcid.org/0000-0002-2960-177X"
title: "ELDORADO Extraction and Integration Code"
version: 0.1.0
doi: 10.5281/zenodo.7936133
date-released: 2023-05-15
url: "https://doi.org/10.5281/zenodo.7936133"

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