An NLP-based approach for clustering patient reports in telemedicine

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 152

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شناسه ملی سند علمی:

DCBDP07_008

تاریخ نمایه سازی: 7 خرداد 1401

چکیده مقاله:

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.

نویسندگان

Hojjat Emami

Department of Computer Engineering University of Bo

Farnaz Khani

General Practitioner Graduated from Tabriz University of Medical Sciences Tabriz, Iran