*Result*: A Medical Intelligent Process Model Using Ontology Based Technique.

Title:
A Medical Intelligent Process Model Using Ontology Based Technique.
Source:
International Journal of Simulation: Systems, Science & Technology; Mar2024, Vol. 25 Issue 1, p3.1-3.13, 13p
Database:
Complementary Index

*Further Information*

*The complexity of patient care, the rapid expansion of medical knowledge, and the requirement for more precise decision-making has made the demand for creative solutions inevitable, a Medical Intelligent Process Model (MIPM) utilizing an ontology-based appears as a promising way to overcome this obstacle and unleash the full potential of healthcare systems. The development of MIPM is motivated by lack of quick access to relevant medical information, advanced tools for treatment planning and clinical decision-making. This work is aimed at developing a structured and knowledge-driven framework that leverages ontology, a formal representation of domain knowledge, to enhance various aspects of healthcare. Object-Oriented Analysis and Design Methodology (OOADM) was adopted in the design of the system as we desired to build a usable and evolvable application. For effective implementation of this work, medical dataset from Kaggle was utilized; ontology-based technique was used with confusion matrix to test the system. MySQL database engine was used to model the data used, with Laravel-migration to integrate Ontology in the database. Python, Hypertext Markup Language (HTML), Hypertext Preprocessor (PHP), Cascaded Style Sheet (CSS) and Java Script were used in the actual development of the system. A medical intelligent process using ontology-based technique was developed. [ABSTRACT FROM AUTHOR]*

*المقال يناقش تطوير نموذج عملية ذكية طبية (MIPM) يستخدم تقنية قائمة على الأنطولوجيا لتعزيز أنظمة الرعاية الصحية. يهدف نموذج MIPM إلى معالجة التحديات في رعاية المرضى، مثل تعقيد البيانات الطبية والحاجة إلى تحسين أدوات اتخاذ القرار. من خلال الاستفادة من الأنطولوجيا، التي توفر تمثيلاً هيكلياً للمعرفة الطبية، يسهل النموذج إدارة البيانات بشكل أفضل ويدعم اتخاذ القرارات السريرية. تستخدم الأبحاث تقنيات متنوعة، بما في ذلك MySQL وLaravel وتعلم الآلة، لإنشاء نظام يحسن دقة وكفاءة سير العمل الطبي، مع الهدف النهائي المتمثل في تحسين نتائج رعاية المرضى. [Extracted from the article]

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