Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloMonitoring asthma control in allergic children by soft computing of lung function and exhaled nitric oxide
Anno di pubblicazione2010
FormatoElettronico
Autore/iPifferi M; Bush A; Pioggia G; Di Cicco M; Chinellato I; Bodini A; Macchia P; Boner AL
Affiliazioni autoriUniversity of Pisa, Imperial School of Medicine at the National Heart and Lung Institute, London, UK, CNR-IFC, Pisa, Università di Pisa, University of Verona
Autori CNR e affiliazioni
  • GIOVANNI PIOGGIA
Lingua/e
  • inglese
AbstractBACKGROUND: Asthma control is emphasized by new guidelines but it remains poor in many children. Evaluation of control relies on subjective patient recall, and may be over-estimated by health care professionals. OBJECTIVES: To assess the value of spirometry and exhaled nitric oxide (FeNO) measurements, used alone or in combination, in models developed by a machine learning approach, in the objective classification of asthma control according to GINA guidelines, and to test the model in a second group of asthmatics. METHODS: 53 children with persistent atopic asthma underwent 2-6 evaluations of asthma control, including spirometry and FeNO. Soft computing evaluation was performed by means of Artificial Neural Networks, and Principal Component Analysis. The model was then tested in a cross-sectional study in a further 77 allergic asthmatic children RESULTS: The machine learning method was not able to distinguish different levels of control using either spirometry or FeNO values alone. However, their use in combination modelled by soft computing was able to discriminate levels of asthma control. In particular the model is able to recognize all uncontrolled asthmatic children and correctly identifies 99.0% totally controlled children. In the cross-sectional study the model prospectively identified correctly all the uncontrolled children and 79.6% of the controlled children. CONCLUSIONS: Soft computing analysis of spirometry and FeNO allows objective categorisation of asthma control status.
Lingua abstractinglese
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Lingua altro abstract-
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RivistaChest (Amer. Coll. Chest Phys.)
Attiva dal 1970
Editore: The College, - [Chicago, Ill.]
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0012-3692
Titolo chiave: Chest (Amer. Coll. Chest Phys.)
Titolo proprio: Chest (Amer. Coll. Chest Phys.)
Titolo abbreviato: Chest (Amer. Coll. Chest Phys.)
Numero volume della rivistaPrepublished online October 7, 2010
Fascicolo della rivista-
DOI10.1378/chest.10-0992
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • PubMed (Codice:20930008)
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Strutture CNR
  • IFC — Istituto di fisiologia clinica
Moduli/Attività/Sottoprogetti CNR
  • ME.P01.015.002 : Pervasive healthcare and biomedical engineering
Progetti Europei-
Allegati
Monitoring Asthma Control in Children With Allergies by Soft Computing of Lung Function and Exhaled Nitric Oxide (documento privato )
Tipo documento: application/pdf

Dati associati a vecchie tipologie
I dati associati a vecchie tipologie non sono modificabili, derivano dal cambiamento della tipologia di prodotto e hanno solo valore storico.
Editore
  • American College Of Chest Physicians, Northbrook (Stati Uniti d'America)

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareCardiovascular & Respiratory Systems
Area valutazione CIVRScienze matematiche e informatiche
Rivista ISICHEST [28127J0]
NoteIn: Chest, vol. Prepublished online October 7, 2010 article n. http://chestjournal.ches. American College of Chest Physicians, 2010.