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Otoneurological Expert System for Vertigo
We have developed an otoneurological expert system (ONE) to aid the diagnostics of vertigo, to assist teaching and to implement a database for research. The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A metho...
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Published in: | Acta oto-laryngologica 1999, Vol.119 (5), p.517-521 |
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container_title | Acta oto-laryngologica |
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creator | KENTALA, E PYYKKÖ, I AURAMO, Y LAURIKKALA, J JUHOLA, M |
description | We have developed an otoneurological expert system (ONE) to aid the diagnostics of vertigo, to assist teaching and to implement a database for research. The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A method based on pattern recognition was used in the reasoning process. Questions about symptoms, signs and test results are weighted and scored for each disease and the most likely disease is recognized from defined disease profiles. Missing information and uncertainties are solved with a method resembling fuzzy logic. ONE was validated by comparing diagnoses assessed by physicians with those provided by the system. It proved to be a valid decision-maker by solving 65% of the cases correctly, while the physicians' mean was 69%. To improve ONE further, a follow-up should be implemented for the patients, since diagnosing sudden deafness and Meniere's disease during the first visit is often impossible. We aim to obtain new information on diseases involving vertigo by applying adaptive computer applications, such as genetic algorithms, to the reasoning process. |
doi_str_mv | 10.1080/00016489950180720 |
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The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A method based on pattern recognition was used in the reasoning process. Questions about symptoms, signs and test results are weighted and scored for each disease and the most likely disease is recognized from defined disease profiles. Missing information and uncertainties are solved with a method resembling fuzzy logic. ONE was validated by comparing diagnoses assessed by physicians with those provided by the system. It proved to be a valid decision-maker by solving 65% of the cases correctly, while the physicians' mean was 69%. To improve ONE further, a follow-up should be implemented for the patients, since diagnosing sudden deafness and Meniere's disease during the first visit is often impossible. We aim to obtain new information on diseases involving vertigo by applying adaptive computer applications, such as genetic algorithms, to the reasoning process.</description><identifier>ISSN: 0001-6489</identifier><identifier>EISSN: 1651-2251</identifier><identifier>DOI: 10.1080/00016489950180720</identifier><identifier>PMID: 10478589</identifier><identifier>CODEN: AOLAAJ</identifier><language>eng</language><publisher>Stockholm: Informa UK Ltd</publisher><subject>Algorithms ; Artificial Intelligence ; Biological and medical sciences ; Cranial Nerve Neoplasms - diagnosis ; Databases as Topic ; Decision Making ; Ear, auditive nerve, cochleovestibular tract, facial nerve: diseases, semeiology ; Expert Systems ; Follow-Up Studies ; Fuzzy Logic ; Hearing Loss, Sudden - diagnosis ; Humans ; Medical sciences ; Meniere Disease - diagnosis ; Neurilemmoma - diagnosis ; Neuritis - diagnosis ; Non tumoral diseases ; Otorhinolaryngology. Stomatology ; Pattern Recognition, Automated ; Physicians ; Problem Solving ; Reproducibility of Results ; Teaching - methods ; Vertigo - diagnosis ; Vertigo - physiopathology ; Vestibular Nerve</subject><ispartof>Acta oto-laryngologica, 1999, Vol.119 (5), p.517-521</ispartof><rights>1999 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted 1999</rights><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-6131af6007c1edb869f5e6987ce67cef0cbc2f6f0eb1e0a87ee41751b514eaf53</citedby><cites>FETCH-LOGICAL-c431t-6131af6007c1edb869f5e6987ce67cef0cbc2f6f0eb1e0a87ee41751b514eaf53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1887542$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10478589$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>KENTALA, E</creatorcontrib><creatorcontrib>PYYKKÖ, I</creatorcontrib><creatorcontrib>AURAMO, Y</creatorcontrib><creatorcontrib>LAURIKKALA, J</creatorcontrib><creatorcontrib>JUHOLA, M</creatorcontrib><title>Otoneurological Expert System for Vertigo</title><title>Acta oto-laryngologica</title><addtitle>Acta Otolaryngol</addtitle><description>We have developed an otoneurological expert system (ONE) to aid the diagnostics of vertigo, to assist teaching and to implement a database for research. The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A method based on pattern recognition was used in the reasoning process. Questions about symptoms, signs and test results are weighted and scored for each disease and the most likely disease is recognized from defined disease profiles. Missing information and uncertainties are solved with a method resembling fuzzy logic. ONE was validated by comparing diagnoses assessed by physicians with those provided by the system. It proved to be a valid decision-maker by solving 65% of the cases correctly, while the physicians' mean was 69%. To improve ONE further, a follow-up should be implemented for the patients, since diagnosing sudden deafness and Meniere's disease during the first visit is often impossible. We aim to obtain new information on diseases involving vertigo by applying adaptive computer applications, such as genetic algorithms, to the reasoning process.</description><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Biological and medical sciences</subject><subject>Cranial Nerve Neoplasms - diagnosis</subject><subject>Databases as Topic</subject><subject>Decision Making</subject><subject>Ear, auditive nerve, cochleovestibular tract, facial nerve: diseases, semeiology</subject><subject>Expert Systems</subject><subject>Follow-Up Studies</subject><subject>Fuzzy Logic</subject><subject>Hearing Loss, Sudden - diagnosis</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Meniere Disease - diagnosis</subject><subject>Neurilemmoma - diagnosis</subject><subject>Neuritis - diagnosis</subject><subject>Non tumoral diseases</subject><subject>Otorhinolaryngology. Stomatology</subject><subject>Pattern Recognition, Automated</subject><subject>Physicians</subject><subject>Problem Solving</subject><subject>Reproducibility of Results</subject><subject>Teaching - methods</subject><subject>Vertigo - diagnosis</subject><subject>Vertigo - physiopathology</subject><subject>Vestibular Nerve</subject><issn>0001-6489</issn><issn>1651-2251</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouq7-AC_SgwgeqjNt06boRcQvWNiDH9eSZidrpW3WpEX335ulKyqCh2EY8rzD5GHsAOEUQcAZAGCaiDzngAKyCDbYCFOOYRRx3GSj1Xu4AnbYrnOvqzEXfJvtICSZ4CIfsZNpZ1rqranNvFKyDq4_FmS74GHpOmoCbWzw7OdqbvbYlpa1o_11H7Onm-vHq7twMr29v7qchCqJsQtTjFHqFCBTSLNSpLnmlOYiU5T60qBKFelUA5VIIEVGlGDGseSYkNQ8HrPjYe_CmreeXFc0lVNU17Il07siA4jiHNCDOIDKGucs6WJhq0baZYFQrPwUf_z4zOF6eV82NPuRGIR44GgNSOd1aCtbVblvToiMJ5HHLgasar2iRr4bW8-KTi5rY78y8X9nnP-Kv5CsuxclLRWvpret9_vPJz4B3NCRVA</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>KENTALA, E</creator><creator>PYYKKÖ, I</creator><creator>AURAMO, Y</creator><creator>LAURIKKALA, J</creator><creator>JUHOLA, M</creator><general>Informa UK Ltd</general><general>Taylor & Francis</general><general>Taylor and Francis</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>8BM</scope></search><sort><creationdate>1999</creationdate><title>Otoneurological Expert System for Vertigo</title><author>KENTALA, E ; PYYKKÖ, I ; AURAMO, Y ; LAURIKKALA, J ; JUHOLA, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-6131af6007c1edb869f5e6987ce67cef0cbc2f6f0eb1e0a87ee41751b514eaf53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Algorithms</topic><topic>Artificial Intelligence</topic><topic>Biological and medical sciences</topic><topic>Cranial Nerve Neoplasms - diagnosis</topic><topic>Databases as Topic</topic><topic>Decision Making</topic><topic>Ear, auditive nerve, cochleovestibular tract, facial nerve: diseases, semeiology</topic><topic>Expert Systems</topic><topic>Follow-Up Studies</topic><topic>Fuzzy Logic</topic><topic>Hearing Loss, Sudden - diagnosis</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Meniere Disease - diagnosis</topic><topic>Neurilemmoma - diagnosis</topic><topic>Neuritis - diagnosis</topic><topic>Non tumoral diseases</topic><topic>Otorhinolaryngology. Stomatology</topic><topic>Pattern Recognition, Automated</topic><topic>Physicians</topic><topic>Problem Solving</topic><topic>Reproducibility of Results</topic><topic>Teaching - methods</topic><topic>Vertigo - diagnosis</topic><topic>Vertigo - physiopathology</topic><topic>Vestibular Nerve</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KENTALA, E</creatorcontrib><creatorcontrib>PYYKKÖ, I</creatorcontrib><creatorcontrib>AURAMO, Y</creatorcontrib><creatorcontrib>LAURIKKALA, J</creatorcontrib><creatorcontrib>JUHOLA, M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>ComDisDome</collection><jtitle>Acta oto-laryngologica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>KENTALA, E</au><au>PYYKKÖ, I</au><au>AURAMO, Y</au><au>LAURIKKALA, J</au><au>JUHOLA, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Otoneurological Expert System for Vertigo</atitle><jtitle>Acta oto-laryngologica</jtitle><addtitle>Acta Otolaryngol</addtitle><date>1999</date><risdate>1999</risdate><volume>119</volume><issue>5</issue><spage>517</spage><epage>521</epage><pages>517-521</pages><issn>0001-6489</issn><eissn>1651-2251</eissn><coden>AOLAAJ</coden><abstract>We have developed an otoneurological expert system (ONE) to aid the diagnostics of vertigo, to assist teaching and to implement a database for research. The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A method based on pattern recognition was used in the reasoning process. Questions about symptoms, signs and test results are weighted and scored for each disease and the most likely disease is recognized from defined disease profiles. Missing information and uncertainties are solved with a method resembling fuzzy logic. ONE was validated by comparing diagnoses assessed by physicians with those provided by the system. It proved to be a valid decision-maker by solving 65% of the cases correctly, while the physicians' mean was 69%. To improve ONE further, a follow-up should be implemented for the patients, since diagnosing sudden deafness and Meniere's disease during the first visit is often impossible. We aim to obtain new information on diseases involving vertigo by applying adaptive computer applications, such as genetic algorithms, to the reasoning process.</abstract><cop>Stockholm</cop><pub>Informa UK Ltd</pub><pmid>10478589</pmid><doi>10.1080/00016489950180720</doi><tpages>5</tpages></addata></record> |
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subjects | Algorithms Artificial Intelligence Biological and medical sciences Cranial Nerve Neoplasms - diagnosis Databases as Topic Decision Making Ear, auditive nerve, cochleovestibular tract, facial nerve: diseases, semeiology Expert Systems Follow-Up Studies Fuzzy Logic Hearing Loss, Sudden - diagnosis Humans Medical sciences Meniere Disease - diagnosis Neurilemmoma - diagnosis Neuritis - diagnosis Non tumoral diseases Otorhinolaryngology. Stomatology Pattern Recognition, Automated Physicians Problem Solving Reproducibility of Results Teaching - methods Vertigo - diagnosis Vertigo - physiopathology Vestibular Nerve |
title | Otoneurological Expert System for Vertigo |
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