| Evaluation of artificial neural networks in the classification of primary oesophageal dysmotility. | |
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MedLine Citation:
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PMID: 16497611 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: Artificial neural networks (ANNs) can rapidly analyse large data sets and exploit complex mathematical relationships between variables. We investigated the feasibility of utilizing ANNs in the recognition and objective classification of primary oesophageal motor disorders, based on stationary oesophageal manometry recordings. MATERIAL AND METHODS: One hundred swallow sequences, including 80 that were representative of various oesophageal motor disorders and 20 of normal motility, were identified from 54 patients (34 F; median age 59 years). Two different ANN techniques were trained to recognize normal and abnormal swallow sequences using mathematical features of pressure wave patterns both with (ANN(+)) and without (ANN(-)) the inclusion of standard manometric criteria. The ANNs were cross-validated and their performances were compared to the diagnoses obtained by standard visual evaluation of the manometric data. RESULTS: Interestingly, ANN(-), rather than ANN(+), programs gave the best overall performance, correctly classifying >80% of swallow sequences (achalasia 100%, nutcracker oesophagus 100%, ineffective oesophageal motility 80%, diffuse oesophageal spasm 60%, normal motility 80%). The standard deviation of the distal oesophageal pressure and propagated pressure wave activity were the most influential variables in the ANN(-) and ANN(+) programs, respectively. CONCLUSIONS: ANNs represent a potentially important tool that can be used to improve the classification and diagnosis of primary oesophageal motility disorders. |
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Authors:
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Robespierre Santos; Horst G Haack; Des Maddalena; Ross D Hansen; John E Kellow |
Publication Detail:
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Type: Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Scandinavian journal of gastroenterology Volume: 41 ISSN: 0036-5521 ISO Abbreviation: Scand. J. Gastroenterol. Publication Date: 2006 Mar |
Date Detail:
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Created Date: 2006-02-24 Completed Date: 2006-07-20 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 0060105 Medline TA: Scand J Gastroenterol Country: Norway |
Other Details:
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Languages: eng Pagination: 257-63 Citation Subset: IM |
Affiliation:
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Department of Pharmacology, University of Sydney, Camperdown, NSW, Australia. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Esophageal Motility Disorders
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classification*,
diagnosis,
physiopathology Feasibility Studies Female Humans Male Manometry Middle Aged Neural Networks (Computer)* Peristalsis / physiology* Pressure Reproducibility of Results |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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