| pubmed-article:21431602 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:21431602 | lifeskim:mentions | umls-concept:C0087111 | lld:lifeskim |
| pubmed-article:21431602 | lifeskim:mentions | umls-concept:C0600028 | lld:lifeskim |
| pubmed-article:21431602 | lifeskim:mentions | umls-concept:C0015324 | lld:lifeskim |
| pubmed-article:21431602 | lifeskim:mentions | umls-concept:C0162586 | lld:lifeskim |
| pubmed-article:21431602 | lifeskim:mentions | umls-concept:C1705938 | lld:lifeskim |
| pubmed-article:21431602 | lifeskim:mentions | umls-concept:C1527178 | lld:lifeskim |
| pubmed-article:21431602 | pubmed:dateCreated | 2011-3-24 | lld:pubmed |
| pubmed-article:21431602 | pubmed:abstractText | The aim of this research work is to design an expert system to assist dentist in treating the mobile tooth. There is lack of consistency among dentists in choosing the treatment plan. Moreover, there is no expert system currently available to verify and support such decision making in dentistry. A Fuzzy Logic based expert system has been designed to accept imprecise and vague values of dental sign-symptoms related to mobile tooth and the system suggests treatment plan(s). The comparison of predictions made by the system with those of the dentist is conducted. Chi-square Test of homogeneity is conducted and it is found that the system is capable of predicting accurate results. With this system, dentist feels more confident while planning the treatment of mobile tooth as he can verify his decision with the expert system. The authors also argue that Fuzzy Logic provides an appropriate mechanism to handle imprecise values of dental domain. | lld:pubmed |
| pubmed-article:21431602 | pubmed:language | eng | lld:pubmed |
| pubmed-article:21431602 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:21431602 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:21431602 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:21431602 | pubmed:issn | 0065-2598 | lld:pubmed |
| pubmed-article:21431602 | pubmed:author | pubmed-author:SharmaPoonamP | lld:pubmed |
| pubmed-article:21431602 | pubmed:author | pubmed-author:MagoVijay... | lld:pubmed |
| pubmed-article:21431602 | pubmed:author | pubmed-author:MagoAnjaliA | lld:pubmed |
| pubmed-article:21431602 | pubmed:author | pubmed-author:MagoJagmohanJ | lld:pubmed |
| pubmed-article:21431602 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:21431602 | pubmed:volume | 696 | lld:pubmed |
| pubmed-article:21431602 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:21431602 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:21431602 | pubmed:pagination | 607-14 | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:meshHeading | pubmed-meshheading:21431602... | lld:pubmed |
| pubmed-article:21431602 | pubmed:year | 2011 | lld:pubmed |
| pubmed-article:21431602 | pubmed:articleTitle | Fuzzy logic based expert system for the treatment of mobile tooth. | lld:pubmed |
| pubmed-article:21431602 | pubmed:affiliation | DAV College, Jalandhar, India. vijay.mago@gmail.com | lld:pubmed |
| pubmed-article:21431602 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:21431602 | pubmed:publicationType | Evaluation Studies | lld:pubmed |
