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An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms

Author
AMARAL, Jorge L. M1 ; LOPES, Agnaldo J2 ; JANSEN, José M2 ; FARIA, Alvaro C. D3 ; MELO, Pedro L3
[1] Department of Electronics and Telecommunications Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil
[2] Pulmonary Function Laboratory, Pedro Ernesto University Hospital, State University of Rio de Janeiro, Rio de Janeiro, Brazil
[3] Biomedical Instrumentation Laboratory, Institute of Biology Roberto Alcantara Gomes and Laboratory of Clinical and Experimental Research in Vascular Biology (BioVasc) State University of Rio de Janeiro, Rio de Janeiro, Brazil
Source

Computer methods and programs in biomedicine (Print). 2013, Vol 112, Num 3, pp 441-454, 14 p ; ref : 58 ref

ISSN
0169-2607
Scientific domain
Biomedical engineering; Computer science
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Artificial intelligence Chronic obstructive pulmonary disease Clinical decision support Early diagnosis Forced oscillation technique Smoking
Keyword (fr)
Algorithme apprentissage Algorithme génétique Apprentissage supervisé Classification automatique Classification à vaste marge Consommation Diagnostic Etude expérimentale Fumage Informatique biomédicale Intelligence artificielle Logistique Méthode ROC Pharmacocinétique Plus proche voisin Réseau neuronal Système aide décision Tabac Validation croisée Volontariat
Keyword (en)
Learning algorithm Genetic algorithm Supervised learning Automatic classification Vector support machine Consumption Diagnosis Experimental study Smoking Biomedical data processing Artificial intelligence Logistics Receiver operating characteristic curves Pharmacokinetics Nearest neighbour Neural network Decision support system Tobacco Cross validation Volunteering
Keyword (es)
Algoritmo aprendizaje Algoritmo genético Aprendizaje supervisado Clasificación automática Máquina ejemplo soporte Consumo Diagnóstico Estudio experimental Ahumadura Informática biomédical Inteligencia artificial Logística Método ROC Farmacocinética Vecino más cercano Red neuronal Sistema ayuda decisíon Tabaco Validación cruzada Voluntariado
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems

Pascal
002 Biological and medical sciences / 002B Medical sciences / 002B11 Pneumology / 002B11B Chronic obstructive pulmonary disease, asthma

Pascal
002 Biological and medical sciences / 002B Medical sciences / 002B28 Computerized, statistical medical data processing and models in biomedicine / 002B28C Medical management aid. Diagnosis aid

Discipline
Computer science : theoretical automation and systems Public health. Hygiene-occupational medicine Pulmonology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
27860446

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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