Title :
The application of text similarity computing in the Clinical Decision Support System
Author :
Tengfei Xue ; Yuyu Yuan ; Qunchao Fu ; Heng Gu ; Siyue Zhang ; Cong Wang
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
The paper presents a new way to apply text similarity computing to the Clinical Decision Support System. It can be applied to all kinds of diseases. Our method includes some traditional algorithms and their improvements, such as TF-IDF algorithm and Cosine Similarity algorithm. Besides, a new approach using TF-IDF algorithm combined eigenvector associated model to determine the case feature weights is proposed. Based on this method, the one-to-one relationship between terms and words would be changed to many-to-many. The focus of this Clinical Decision Support Track will be the retrieval of relevant biomedical articles and locating the most relevant and timely information for answering clinical questions.
Keywords :
decision support systems; diseases; eigenvalues and eigenfunctions; medical computing; question answering (information retrieval); text analysis; TF-IDF algorithm; case feature weights; clinical decision support system; clinical question answering; cosine similarity algorithm; diseases; eigenvector associated model; one-to-one relationship; relevant biomedical article retrieval; text similarity computing; Accuracy; Computational modeling; Decision support systems; Diseases; Feature extraction; Semantics; Clinical Decision Support System; Cosine Similarity algorithm; TF-IDF algorithm; Text similarity;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
DOI :
10.1109/CCIS.2014.7175759
