The development of a novel knowledge-based weaning algorithm using pulmonary parameters: a simulation study.
Weaning is important for patients and clinicians who have to determine correct weaning time so that patients do not become addicted to the ventilator. There are already some predictors developed, such as the rapid shallow breathing index (RSBI), the pressure time index (PTI), and Jabour weaning inde...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 3; pp. 373 - 385 |
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| Autores principales: | , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Mar2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128292220&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128292220 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Mar2018 vid: 56 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128292220 128292220 NLM28766105 128292220 10.1007/s11517-017-1698-7 NLM28766105 128292220 ppf: 373 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The development of a novel knowledge-based weaning algorithm using pulmonary parameters: a simulation study. aug: au: Guler, Hasan Kilic, Ugur affil: Electrical-Electronics Engineering Department, Firat University, Elazig, Turkey sug: subj: Lung Physiology Ventilator Weaning Computer Simulation Knowledge Algorithms Hydrogen-Ion Concentration Blood Pressure Glasgow Coma Scale Body Temperature Hemodynamics Logic Oxygen Metabolism Respiratory Function Tests Carbon Dioxide Metabolism Blood Gas Analysis Hemoglobins Metabolism Human ab: Weaning is important for patients and clinicians who have to determine correct weaning time so that patients do not become addicted to the ventilator. There are already some predictors developed, such as the rapid shallow breathing index (RSBI), the pressure time index (PTI), and Jabour weaning index. Many important dimensions of weaning are sometimes ignored by these predictors. This is an attempt to develop a knowledge-based weaning process via fuzzy logic that eliminates the disadvantages of the present predictors. Sixteen vital parameters listed in published literature have been used to determine the weaning decisions in the developed system. Since there are considered to be too many individual parameters in it, related parameters were grouped together to determine acid-base balance, adequate oxygenation, adequate pulmonary function, hemodynamic stability, and the psychological status of the patients. To test the performance of the developed algorithm, 20 clinical scenarios were generated using Monte Carlo simulations and the Gaussian distribution method. The developed knowledge-based algorithm and RSBI predictor were applied to the generated scenarios. Finally, a clinician evaluated each clinical scenario independently. The Student's t test was used to show the statistical differences between the developed weaning algorithm, RSBI, and the clinician's evaluation. According to the results obtained, there were no statistical differences between the proposed methods and the clinician evaluations. pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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