Computer-assisted Diagnosis of Pediatric Rheumatic Diseases
AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases. AI/RHEUM was modified...
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| Veröffentlicht in: | Pediatrics (Evanston) 1998-10, Vol.102 (4), p.e48-e48 |
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| container_title | Pediatrics (Evanston) |
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| creator | Athreya, Balu H Cheh, May L Kingsland III, Lawrence C |
| description | AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases.
AI/RHEUM was modified by the addition of 5 new diseases to the knowledge base of the system. Criteria tables for each of the diseases included in the knowledge base were modified to suit the needs of children. The modified system was tested on 94 consecutive children seen in a pediatric rheumatology clinic.
AI/RHEUM made the correct diagnosis in 92% of the cases when the diagnosis was available in the knowledge base of the system. It was also shown to be effective in the education of pediatric trainees through its multimedia features.
AI/RHEUM is an expert system that may be helpful to the nonspecialist as a diagnostic decision support system and as an educational tool. |
| doi_str_mv | 10.1542/peds.102.4.e48 |
| format | Article |
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AI/RHEUM was modified by the addition of 5 new diseases to the knowledge base of the system. Criteria tables for each of the diseases included in the knowledge base were modified to suit the needs of children. The modified system was tested on 94 consecutive children seen in a pediatric rheumatology clinic.
AI/RHEUM made the correct diagnosis in 92% of the cases when the diagnosis was available in the knowledge base of the system. It was also shown to be effective in the education of pediatric trainees through its multimedia features.
AI/RHEUM is an expert system that may be helpful to the nonspecialist as a diagnostic decision support system and as an educational tool.</description><identifier>ISSN: 0031-4005</identifier><identifier>EISSN: 1098-4275</identifier><identifier>DOI: 10.1542/peds.102.4.e48</identifier><identifier>PMID: 9755285</identifier><identifier>CODEN: PEDIAU</identifier><language>eng</language><publisher>United States: Am Acad Pediatrics</publisher><subject>Child ; Diagnosis, Computer-Assisted ; Expert Systems ; Humans ; Joint Diseases - diagnosis ; Multimedia ; Pediatrics ; Rheumatic Diseases - diagnosis ; Tendinopathy - diagnosis ; Vasculitis - diagnosis</subject><ispartof>Pediatrics (Evanston), 1998-10, Vol.102 (4), p.e48-e48</ispartof><rights>Copyright National Library of Medicine - MEDLINE Abstracts Oct 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-561dd25222f1ba7ce3849b4d6ac9615b264212d77ac7fec8bd7371880a979cdf3</citedby><cites>FETCH-LOGICAL-c358t-561dd25222f1ba7ce3849b4d6ac9615b264212d77ac7fec8bd7371880a979cdf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9755285$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Athreya, Balu H</creatorcontrib><creatorcontrib>Cheh, May L</creatorcontrib><creatorcontrib>Kingsland III, Lawrence C</creatorcontrib><title>Computer-assisted Diagnosis of Pediatric Rheumatic Diseases</title><title>Pediatrics (Evanston)</title><addtitle>Pediatrics</addtitle><description>AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases.
AI/RHEUM was modified by the addition of 5 new diseases to the knowledge base of the system. Criteria tables for each of the diseases included in the knowledge base were modified to suit the needs of children. The modified system was tested on 94 consecutive children seen in a pediatric rheumatology clinic.
AI/RHEUM made the correct diagnosis in 92% of the cases when the diagnosis was available in the knowledge base of the system. It was also shown to be effective in the education of pediatric trainees through its multimedia features.
AI/RHEUM is an expert system that may be helpful to the nonspecialist as a diagnostic decision support system and as an educational tool.</description><subject>Child</subject><subject>Diagnosis, Computer-Assisted</subject><subject>Expert Systems</subject><subject>Humans</subject><subject>Joint Diseases - diagnosis</subject><subject>Multimedia</subject><subject>Pediatrics</subject><subject>Rheumatic Diseases - diagnosis</subject><subject>Tendinopathy - diagnosis</subject><subject>Vasculitis - diagnosis</subject><issn>0031-4005</issn><issn>1098-4275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkFtLwzAUgIMoc15efROKD7615tqk-CSbNxgoos8hTU63jHWdSYv4723ZcOJTzoHvfIQPoQuCMyI4vdmAixnBNOMZcHWAxgQXKuVUikM0xpiRlGMsjtFJjEuMMReSjtCokEJQJcbodtLUm66FkJoYfWzBJVNv5uumX5KmSl7BedMGb5O3BXS1aftp6iOYCPEMHVVmFeF8956ij4f798lTOnt5fJ7czVLLhGpTkRPnqKCUVqQ00gJTvCi5y40tciJKmnNKqJPSWFmBVaWTTBKlsClkYV3FTtH11rsJzWcHsdW1jxZWK7OGpotasoJJrHgPXv0Dl00X1v3fNKWK5YSQAcq2kA1NjAEqvQm-NuFbE6yHpHpI2i9Uc90n7Q8ud9aurMH94ruGe-HCzxdfPsAg2EaLf8a98Ae_YIJl</recordid><startdate>19981001</startdate><enddate>19981001</enddate><creator>Athreya, Balu H</creator><creator>Cheh, May L</creator><creator>Kingsland III, Lawrence C</creator><general>Am Acad Pediatrics</general><general>American Academy of Pediatrics</general><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>7TS</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>U9A</scope><scope>7X8</scope></search><sort><creationdate>19981001</creationdate><title>Computer-assisted Diagnosis of Pediatric Rheumatic Diseases</title><author>Athreya, Balu H ; Cheh, May L ; Kingsland III, Lawrence C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-561dd25222f1ba7ce3849b4d6ac9615b264212d77ac7fec8bd7371880a979cdf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Child</topic><topic>Diagnosis, Computer-Assisted</topic><topic>Expert Systems</topic><topic>Humans</topic><topic>Joint Diseases - diagnosis</topic><topic>Multimedia</topic><topic>Pediatrics</topic><topic>Rheumatic Diseases - diagnosis</topic><topic>Tendinopathy - diagnosis</topic><topic>Vasculitis - diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Athreya, Balu H</creatorcontrib><creatorcontrib>Cheh, May L</creatorcontrib><creatorcontrib>Kingsland III, Lawrence C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatrics (Evanston)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Athreya, Balu H</au><au>Cheh, May L</au><au>Kingsland III, Lawrence C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computer-assisted Diagnosis of Pediatric Rheumatic Diseases</atitle><jtitle>Pediatrics (Evanston)</jtitle><addtitle>Pediatrics</addtitle><date>1998-10-01</date><risdate>1998</risdate><volume>102</volume><issue>4</issue><spage>e48</spage><epage>e48</epage><pages>e48-e48</pages><issn>0031-4005</issn><eissn>1098-4275</eissn><coden>PEDIAU</coden><abstract>AI/RHEUM is a multimedia expert system developed originally to assist in the diagnosis of rheumatic diseases in adults. In the present study we evaluated the usefulness of a modified version of this diagnostic decision support system in diagnosing childhood rheumatic diseases.
AI/RHEUM was modified by the addition of 5 new diseases to the knowledge base of the system. Criteria tables for each of the diseases included in the knowledge base were modified to suit the needs of children. The modified system was tested on 94 consecutive children seen in a pediatric rheumatology clinic.
AI/RHEUM made the correct diagnosis in 92% of the cases when the diagnosis was available in the knowledge base of the system. It was also shown to be effective in the education of pediatric trainees through its multimedia features.
AI/RHEUM is an expert system that may be helpful to the nonspecialist as a diagnostic decision support system and as an educational tool.</abstract><cop>United States</cop><pub>Am Acad Pediatrics</pub><pmid>9755285</pmid><doi>10.1542/peds.102.4.e48</doi></addata></record> |
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| ispartof | Pediatrics (Evanston), 1998-10, Vol.102 (4), p.e48-e48 |
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| language | eng |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Child Diagnosis, Computer-Assisted Expert Systems Humans Joint Diseases - diagnosis Multimedia Pediatrics Rheumatic Diseases - diagnosis Tendinopathy - diagnosis Vasculitis - diagnosis |
| title | Computer-assisted Diagnosis of Pediatric Rheumatic Diseases |
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