BROWSE
Detail
Conference Paper
Medication Adherence Supporting Model based on Markov Logic Network using Tuberculosis Patients Data
Cited 0 time in 
Share 
Share
- Authors
- Bumhwi Kim, Kee-Koo Kwon, Kyu Hyung Kim, Eunchang Choi, Jae-Wook Nah
- Issue Date
- 2018-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.66-68
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a patient medication adherence supporting system to support continuous patient medication for increasing the rate of treatment for tuberculosis. The proposed model is based on the Markov Logic Network which is one of statistical relational learning approach using doctor's decision rule. The Markov logic network learns the relationships of data fields from tuberculosis patients. The proposed model infers medication adherence group using the newly given patient data via the trained Markov logic network.
- KSP Keywords
- Data field, Decision rules, Learning approach, Markov logic network, Patient data, Proposed model, Statistical relational learning, Supporting system, medication adherence, model-based