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2022 | OriginalPaper | Buchkapitel

OHF: An Ontology Based Framework for Healthcare

verfasst von : Shivani Dhiman, Anjali Thukral, Punam Bedi

Erschienen in: Artificial Intelligence and Speech Technology

Verlag: Springer International Publishing

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Abstract

Timely and holistic recommendations in disease diagnosis process may prove a great assistance to a medical practitioner. However, the amount of structured or unstructured data generated in medicinal domain are voluminous and thus imposes challenges. In order to make machines understand the data semantically and infer useful insights from patient’s information, the data needs to be semantically represented in an ontology. Therefore, in this paper we explore various ontologies existing in the medicinal domain. The paper proposes an Ontology-Based Framework for Healthcare (OHF) using these existing ontologies, and also proposes Healthcare Ontology (HO) which is a semantic representation of knowledgebase of patients’ healthcare information available in the form of Electronic Health Record (EHR). The OHF consisting of systematically generated and exhaustive ontologies may be utilized for predicting semantic inferences related to a patient’s medical condition. A case study is being used to explain working of the framework in disease diagnosis.

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Titel: OHF: An Ontology Based Framework for Healthcare
verfasst von: Shivani Dhiman
Anjali Thukral
Punam Bedi
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Speech Technology
Print ISBN: 978-3-030-95710-0

Electronic ISBN: 978-3-030-95711-7

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-95711-7_28

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