diagnostic confirmation of the evaluation of the tracing of electronic fetal monitoring based on probability and the s/k ratio of entropy

Clicks: 308
ID: 137479
2018
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #2 of 22 articles by views in land degradation and development

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The correct interpretation of the layout of fetal monitoring is a challenge for current clinical; recently a diagnostic methodology based on the theories of probability and entropy, which managed to assess in an objective and reproducible way the layout of differentiating normal fetal monitoring and evolution of disease between these states was developed. The aim of this paper is to apply this methodology to assess fetal monitoring tracing and confirm their clinical applicability and reproducibility. For this 25 fetal monitoring in 20 minutes divided into two groups were evaluated: 10 normal and 15 with loss of fetal well-being, according to the conventional interpretation of the monitoring, and general clinical evaluation. Heart rates presented in discrete time intervals from the paths they took, and the likelihood and the S/k ratio of entropy was evaluated. The S/k relations of entropy for normal differentiated evaluated by monitors disease. The clinical applicability of physical and mathematical diagnostic assessment of fetal monitoring tracing was confirmed.
Reference Key
soracipa2018momentodiagnostic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yolanda Soracipa;Javier Rodríguez;Marcos Castillo
Journal land degradation and development
Year 2018
DOI
10.15446/mo.n57.73387
URL
https://revistas.unal.edu.co/index.php/momento/article/view/73387
Keywords
light monitoreo fetalphysicsoptics

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.