Intelligent Agent System Using Medicine Ontology

Thomas, Tintu; Mervin, R.

doi:10.1002/9781119764175.ch6

Cited by 2 publications

(1 citation statement)

References 24 publications

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“…Another problem is that the search can only be based on the name of the drug, composition, or manufacturer, whereas when a patient or customer comes, they often ask for the drug based on the disease they are suffering from, not the name of the drug. Based on the problems, research has been conducted on applying semantic web ontology to look for drugs [13]- [15]. The application can search and show the name, composition, or complaints suffered, and the use of protégés to represent drug information based on knowledge and create data or information about webbased semantic drugs.…”

Section: Introductionmentioning

confidence: 99%

Knowledge representation of drug using ontology alignment and mapping techniques

Jayadianti

Hasanah

Fauziah

et al. 2021

SITech

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Drug searches are still based on drug names and brands, making it difficult for patients to come looking for a cure by saying that they feel sick. Likewise, when looking for drugs and information about their content to avoid overdose errors when changing drugs when drugs are supposed to be unavailable. Based on the issues raised, a study was conducted on applying semantic web ontology to search for drugs that can appear based on patients’ names, compositions, or complaints of diseases. Protégé 5.5 serves to represent drug information based on knowledge. The application uses Netbeans with Jena API as a library and creates data and drug information on the semantic web. Drug search also uses similar in-formation meaning based on user knowledge. By representing knowledge on the search for drug and disease information with semantic web ontology technology, it can meet the purpose of research, namely to improve drug and disease information search following the user’s wishes.

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Section: Introductionmentioning

confidence: 99%

Knowledge representation of drug using ontology alignment and mapping techniques

Jayadianti

Hasanah

Fauziah

et al. 2021

SITech

View full text Add to dashboard Cite

show abstract

The industry demand oriented construction of intelligence medicine specialty in traditional Chinese medicine university: teachers’ perspective

Lin,

Chen,

Zhang

et al. 2024

BMC Med Educ

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Background The aim of this study was to explore the relationships between teaching competence, career development, industrial orientation, and specialty construction in the case of intelligent medicine specialties in universities of traditional Chinese medicine, as well as the influencing factors of specialty construction. Methods Two-stage sampling with unequal probability was conducted to distribute self-administered questionnaires in the fieldwork. A structural equation model was built to investigate the influencing factors of specialty construction. Forty-two teachers were recruited and completed the questionnaire. Results The study found that teaching competence, career development, and industrial orientation positively affect specialty construction at a significant level. Career development and industrial orientation play chain mediating roles in the effect of teaching competence on specialty construction. Conclusions In the construction of intelligent medicine specialties, a professional curriculum system should be built that caters to industrial demand and is combined with industrial development, the traditional mode of teaching should be transformed, and the transformation of theoretical knowledge into practical ability should be promoted. Innovations in teaching modes should be achieved by introducing information technology, and the teacher evaluation system should be optimized.

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Intelligent Agent System Using Medicine Ontology

Cited by 2 publications

References 24 publications

Knowledge representation of drug using ontology alignment and mapping techniques

Knowledge representation of drug using ontology alignment and mapping techniques

The industry demand oriented construction of intelligence medicine specialty in traditional Chinese medicine university: teachers’ perspective

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