Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services

August 2025
Vol-11, Issue-5
Paper ID: 27434
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science
Keywords
Health Diagnosis Ontology-based Reasoning Machine Learning Deep Learning Convolutional Neural Networks Personal Health Records Hybrid Analysis Intelligent Healthcare
Abstract
The growing reliance on online health platforms has increased the demand for accurate and intelligent diagnostic systems. Traditional symptom checkers generally depend on simple pairwise mappings between diseases and symptoms or on manually constructed knowledge bases, which leads to low diagnostic precision and limited adaptability to evolving health conditions. Recent works have explored supervised learning models, electronic health records (EHRs), and telehealth cloud systems, but these approaches face issues of incomplete data, poor scalability, and low reliability in real-world healthcare scenarios. In this study (2022–2024), we propose a hybrid health diagnosis framework that integrates structured medical records and unstructured clinical narratives through convolutional neural networks (CNNs) and ontology-based reasoning. By combining semantic inference with automated feature extraction, the method enhances diagnostic accuracy, achieving rates close to 94.80% in experimental settings. The framework is designed to be adaptive, interpretable, and scalable, providing real-time and reliable support for healthcare decision-making in e-health and telemedicine contexts.
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

# Name Institute / Affiliation
1 Md Nafis Alam T John Institute Of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Alam, Md Nafis (2025). Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services. International Journal of Advance Research and Innovative Ideas In Education, 11(5), 59-67.
MLA Style
Alam, Md Nafis. "Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 5, 2025, pp. 59-67.
IEEE Style
Md Nafis Alam, "Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 5, pp. 59-67, 2025.
Vancouver Style
Alam Md Nafis. Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(5):59-67.
Harvard Style
Alam, Md Nafis (2025) 'Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services', International Journal of Advance Research and Innovative Ideas In Education, 11(5), pp. 59-67.
Chicago Style
Alam, Md Nafis. "Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services." International Journal of Advance Research and Innovative Ideas In Education 11, no. 5 (2025): 59-67.
Turabian Style
Alam, Md Nafis. "Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record Services." International Journal of Advance Research and Innovative Ideas In Education 11, no. 5 (2025): 59-67.

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