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Determination of mode of ventilation using OSRE.
Faulke, D; Etchells, T A; Harrison, M J; Lisboa, P J G.
Affiliation
  • Faulke D; Department of Anaesthesia and Perioperative Medicine, Auckland City Hospital, Auckland, New Zealand. DanF@adhb.govt.nz
Comput Biol Med ; 39(11): 1032-5, 2009 Nov.
Article de En | MEDLINE | ID: mdl-19733842
ABSTRACT
This study classifies the mode of ventilation using respiratory rate, inhaled and exhaled carbon dioxide concentrations in anaesthetised patients. Thirty seven patients were breathing spontaneously (SPONT) and 50 were on a ventilator (intermittent positive pressure ventilation, IPPV). A data-based methodology for rule inference from trained neural networks, orthogonal search-based rule extraction, identified two sets of low-order Boolean rules for differential identification of the mode of ventilation. Combining both models produced three possible outcomes; IPPV, SPONT and 'Uncertain'. The true positive rates were approximately maintained at 96% for IPPV and 93% for SPONT, with false positive rates of 0.4% for each category and 4.3% 'Uncertain' inferences.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Ventilation artificielle / Phénomènes physiologiques respiratoires Type d'étude: Observational_studies Limites: Humans Langue: En Journal: Comput Biol Med Année: 2009 Type de document: Article Pays d'affiliation: Nouvelle-Zélande

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Ventilation artificielle / Phénomènes physiologiques respiratoires Type d'étude: Observational_studies Limites: Humans Langue: En Journal: Comput Biol Med Année: 2009 Type de document: Article Pays d'affiliation: Nouvelle-Zélande