In this paper we present an application of pharmaceutical validation of medication based on an OWL ontology and business rules or more specifically clinical decision rules. This application has been developed based on a prototype that enables business users to author, execute and manage their Business Rules over OWL Ontology. This prototype is based on the Business Rule Management System (BRMS) IBM WebSphere ILOG JRules.
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Comput Methods Programs Biomed
January 2025
Laberit, Avda. de Catalunya, 9, València, 46020, Spain.
Background And Objective: Despite significant investments in the normalization and the standardization of Electronic Health Records (EHRs), free text is still the rule rather than the exception in clinical notes. The use of free text has implications in data reuse methods used for supporting clinical research since the query mechanisms used in cohort definition and patient matching are mainly based on structured data and clinical terminologies. This study aims to develop a method for the secondary use of clinical text by: (a) using Natural Language Processing (NLP) for tagging clinical notes with biomedical terminology; and (b) designing an ontology that maps and classifies all the identified tags to various terminologies and allows for running phenotyping queries.
View Article and Find Full Text PDFJ Clin Neurosci
December 2024
Department of Pediatric Neurology, Kuang-Tien General Hospital, Taichung, Taiwan.
Background: To develop an enhanced epilepsy diagnosis system by integrating an expert-informed ontology with a custom generative pre-trained transformer (GPT), validated by inferring possible seizure lateralization and localization using retrospective textual data from the pre-surgical assessments of patients with pharmaco-resistant epilepsy (PRE).
Methods: We developed an AI system for epilepsy diagnosis using Protégé with OWL/SWRL, integrating a knowledge base with seizure semiology, seizure types EEG descriptors, expert insights, and literature to pinpoint seizure locations. A customized GPT model was then tailored for specific diagnostic needs.
Sci Rep
October 2024
School of Medicine, Keele University, Keele, Newcastle, ST5 5BG, UK.
Lifestyle diseases significantly contribute to the global health burden, with lifestyle factors playing a crucial role in the development of depression. The COVID-19 pandemic has intensified many determinants of depression. This study aimed to identify lifestyle and demographic factors associated with depression symptoms among Indians during the pandemic, focusing on a sample from Kolkata, India.
View Article and Find Full Text PDFJMIR Med Inform
September 2024
Institute of Medical Informatics, University of Luebeck, Luebeck, Germany.
Stud Health Technol Inform
August 2024
Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thermi, Thessaloniki, Greece.
Artificial Intelligence (AI), particularly Machine Learning (ML), has gained attention for its potential in various domains. However, approaches integrating symbolic AI with ML on Knowledge Graphs have not gained significant focus yet. We argue that exploiting RDF/OWL semantics while conducting ML could provide useful insights.
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