Effective Model Integration Algorithm for Improving Prediction Accuracy of Healthcare Ontology

Integration of Ontology Transformation into Hidden Markov Model

“…The sensibility of this approach is based on the value of 𝜀. Since authors [21][22][23][24][25][26][27][28][29][30][31][32] based on populating ontologies through HMM and mixed HMM and ontologies, in this work, a strictly relationship is outlined between ontology and HMM. As precise in Section 3.2, in the case of multiple ontologies, a single HMM can represent them using this approach.…”

“…Thus, the train HMM generated labeled text, which is transformed into predicates for ontology using Viterbi algorithm. For Monika and Raju [25] ontology can be obtained with another manner. They proposed an effective model integration algorithm based on HMM to build ontology.…”

“…These works are summarized in Table 1. Camara [24] 2017 Extract knowledge from ontology (Java source) using HMM Rani et al [29] 2017 Use ontology to personalize system of E-learning based on FPN and HMM Karmegam [30] 2019 Combine HMM and ontology to build answering system for agricultural domain Monika and Raju [25] 2019 Build ontology using algorithms based on HMMs Elangovan [31] 2021 Train HMM based on ontologies to compute sequence evaluation Muthukumar et al [32] 2021…”

“…The HMM is therefore designed to learn ontology concepts and all of their attributes. This concept was backed by two sets of tasks: (1) using HMMs to populate ontologies [21][22][23][24][25]; and (2) combining HMMs and ontologies to develop systems [26][27][28][29][30][31][32].…”