Document Detail

Artificial intelligence techniques: An efficient new approach to challenge the assessment of complex clinical fields such as airway clearance techniques in patients with cystic fibrosis?
MedLine Citation:
PMID:  23420272     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To construct an artificial intelligence application to assist untrained physiotherapists in determining the appropriate physiotherapy exercises to improve the quality of life of patients with cystic fibrosis.
SUBJECTS: A total of 42 children (21 boys and 21 girls), age range 6-18 years, participated in a clinical survey between 2001 and 2005.
METHODS: Data collected during the clinical survey were entered into a neural network in order to correlate the health state indicators of the patients and the type of physiotherapy exercise to be followed. Cross-validation of the network was carried out by comparing the health state indicators achieved after following a certain physiotherapy exercise and the health state indicators predicted by the network.
RESULTS: The lifestyle and health state indicators of the survey participants improved. The network predicted the health state indicators of the participants with an accuracy of 93%. The results of the cross-validation test were within the error margins of the real-life indicators.
CONCLUSION: Using data on the clinical state of individuals with cystic fibrosis, it is possible to determine the most effective type of physiotherapy exercise for improving overall health state indicators.
Titus Slavici; Bogdan Almajan
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  Journal of rehabilitation medicine     Volume:  45     ISSN:  1651-2081     ISO Abbreviation:  J Rehabil Med     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-04-02     Completed Date:  2013-07-09     Revised Date:  2014-05-30    
Medline Journal Info:
Nlm Unique ID:  101088169     Medline TA:  J Rehabil Med     Country:  Sweden    
Other Details:
Languages:  eng     Pagination:  397-402     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Artificial Intelligence*
Cystic Fibrosis / therapy*
Health Status Indicators
Neural Networks (Computer)*
Respiratory Therapy / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Immunohistochemistry and fluorescence in situ hybridization assessment of HER2 in clinical trials of...
Next Document:  Factor structure and longitudinal invariance of the Center for Epidemiological Studies Depression Sc...