Publication Type : Conference Paper
Publisher : Springer
Source : Lecture Notes on Data Engineering and Communications Technologies, vol 93. Springer, Singapore. https://doi.org/10.1007/978-981-16-6605-6_14
Url : https://link.springer.com/chapter/10.1007/978-981-16-6605-6_14
Campus : Amritapuri
School : School of Computing
Year : 2022
Abstract : Our research motivation is to make ease and support decision-making process in medical field by providing recommendations to medical practitioners, while carrying out any clinical diagnosis. There are many ongoing related research works which provide recommendation in medical field, our work stands out over others by providing the necessary information’s as recommendations, while carrying out clinical diagnosis. Thus, proposed system was developed in such a way that it acts as a second opinion to rectify their doubts during the entire process of clinical diagnosis. Existing works do not provide necessary information when combined to form meaningful knowledge representations. We try to sort out these problems by creating a conceptual structure which combines disease symptom and medicine domain. It also tries to create and represent knowledge on therapeutic domain by combining Allopathy medicines and Homeopathy medicines. To represent with end users, we developed an interface model namely knowledge-based clinical assistance (KBCA) to provide a working prototype to derive the recommendation.
Cite this Research Publication : Subbulakshmi, S., Ramar, Jyothi, D., Hari, S.S. (2022), "Knowledge-Based Medicine Recommendation Using Domain Specific Ontology," In: Karrupusamy, P., Balas, V.E., Shi, Y. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 93. Springer, Singapore. https://doi.org/10.1007/978-981-16-6605-6_14