A Comparative Study of Energy Domain Ontologies

Blanco, José Miguel Arias; Rossi, Bruno; Pitner, Tomáš

doi:10.1007/978-3-031-24197-0_3

Cited by 3 publications

(1 citation statement)

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“…Semantic Web (SW) technologies facilitate data reuse and sharing across enterprises, applications, and communities, thereby achieving Semantic Interoperability (SI) within EHR systems. At the core of SW, ontologies serve as data models that represent a specifi c domain's concepts and their relationships in a formal semantic manner using axioms [11]. This enables both human and machine comprehension of exchanged data's meaning.…”

Section: Contemporary Approaches To Secure Electronicmentioning

confidence: 99%

Machine Learning Model for Chronic Disease Prediction

Nowrozy*

2023

J Biomed Res Environ Sci

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Chronic diseases are a class of illnesses with complex etiologies, long-lasting or persistent symptoms, and are frequently referred to as chronic non communicable diseases. The most significant public health issues in the world are the leading chronic diseases, which include heart disease, cancer, chronic obstructive pulmonary disease, stroke, and diabetes. Both developed and developing nations experience significant health and financial costs as a result of these diseases. Some risk behaviours, such as tobacco use, poor nutrition, and excessive alcohol consumption, are the root cause of many chronic diseases. The various schemes are designed for the chronic disease prediction. The machine learning models for the chronic disease prediction is analysed in terms of certain parameters.

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Section: Contemporary Approaches To Secure Electronicmentioning

confidence: 99%