An Adaptive Neuro-Fuzzy Inference System (ANFIS) Model for Prediction of Optimal Dose In Methadone Maintenance Therapy

Rahim, Nur Raidah; Nordin, Sharifalillah; Dom, Rosma Mohd

doi:10.1109/icsgrc.2019.8837074

Cited by 1 publication

(2 citation statements)

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“…Most of these CDSS models used the ontology-based technique for developing their models. As described previously, ANFIS has been used in this study for predicting the methadone stable doses [11]. Besides, the ontology-based technique has also been used for developing the CDSS model that integrates the MMT domain knowledge with causal reasoning, decision support, and supporting evidences.…”

Section: ) Schema Metricsmentioning

confidence: 99%

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Integrated Ontology Development for Clinical Decision Support System in the Case Study of Methadone Maintenance Therapy

Rahim¹

2019

IJATCSE

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Clinical Decision Support System (CDSS) is a health information system which is designed to help the physicians in decision-making process. However, it remains a challenge to successfully provide and implement CDSS in clinical practice. One of the issues is regarding the limited provisions of causal reasoning and supporting evidences for the presented outcomes or decisions in existing CDSS. These are necessary for showing the relevance and reliability of the outcomes, and helping the physicians in making proper decisions. This study has designed an ontology-based CDSS model that integrates the domain medical knowledge with causal reasoning, decision support, and supporting evidences. The CDSS model is developed for the case study of Methadone Maintenance Therapy (MMT). From the evaluation by the ontology metrics, the results show that our model is feasible and comparable to other ontology models. As a result, our CDSS model able to provide full support to the CDSS requirements particularly in the provision of causal reasoning compared to other CDSS models, and these signify the contributions of this study.

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Section: ) Schema Metricsmentioning

confidence: 99%

“…Adaptive Neuro-Fuzzy Inference System (ANFIS)) has also been used in the CDSS model for making predictions in the MMT case study (i.e. formerly presented in [11]). This paper presents the ontology-based technique that has been used for developing the CDSS model.…”

Section: Introductionmentioning

confidence: 99%

Integrated Ontology Development for Clinical Decision Support System in the Case Study of Methadone Maintenance Therapy

Rahim¹

2019

IJATCSE

Self Cite

View full text Add to dashboard Cite

show abstract

An Adaptive Neuro-Fuzzy Inference System (ANFIS) Model for Prediction of Optimal Dose In Methadone Maintenance Therapy

Cited by 1 publication

References 10 publications

Integrated Ontology Development for Clinical Decision Support System in the Case Study of Methadone Maintenance Therapy

Integrated Ontology Development for Clinical Decision Support System in the Case Study of Methadone Maintenance Therapy

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