An NLP-based approach for clustering patient reports in telemedicine
Publish place: Seventh National Conference and First International Conference on Distribution Computing and Big Data Processing
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
View: 165
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
DCBDP07_008
تاریخ نمایه سازی: 7 خرداد 1401
Abstract:
Reducing the workload of physicians in telemedicine increases the accuracy of diagnosis and leads to effective treatment. This paper presents the theoreticalfoundations of an intelligent system for clustering patient reports in telemedicine. The proposed approach is based on natural language processing and text clustering methods. The proposed approach takes as input the patient reports written in unstructured natural text and structured tables, and groupsthem into some disjoint clusters according to their similarity in semantics. The proposed approach consists of four main steps: pre-processing, semantic analysis, similarity computation, and grouping. The incentive mechanism of the proposed approach is to semantically analyze and enrich the content of reportsusing distant ontology to improve the clustering performance. The experimental results on a benchmark dataset drawn from Ohsumed collection show that the proposed approach outperformed its counterpart method.
Keywords:
Authors
Hojjat Emami
Department of Computer Engineering University of Bo
Farnaz Khani
General Practitioner Graduated from Tabriz University of Medical Sciences Tabriz, Iran