Semi-automatic classification of clinical diagnoses with hybrid approach

被引：1

作者：

Héja, G ^{[1
]}

Surján, G ^{[1
]}

机构：

[1] Budapest Univ Technol & Econ, Dept Measurement & Informat Syst, H-1521 Budapest, Hungary

来源：

PROCEEDINGS OF THE 15TH IEEE SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS | 2002年

关键词：

D O I：

10.1109/CBMS.2002.1011403

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The authors present a hybrid approach to assist the laborious work of coding of medical reports. The system consists of four components: an n-gram based module, a modified vector-space module, a neural module, and an XML representation of the ICD coding system. It supports the coding of clinical diagnoses to ICD.

引用

页码：347 / 352

页数：6

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