Fusion techniques in biomedical information retrieval

8Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.
Get full text

Abstract

For difficult cases clinicians usually use their experience and also the information found in textbooks to determine a diagnosis. Computer tools can help them supply the relevant information now that much medical knowledge is available in digital form. A biomedical search system such as developed in the Khresmoi project (that this chapter partially reuses) has the goal to fulfil information needs of physicians. This chapter concentrates on information needs for medical cases that contain a large variety of data, from free text, structured data to images. Fusion techniques will be compared to combine the various information sources to supply cases similar to an example case given. This can supply physicians with answers to problems similar to the one they are analyzing and can help in diagnosis and treatment planning.

Cite

CITATION STYLE

APA

de Herrera, A. G. S., & Müller, H. (2014). Fusion techniques in biomedical information retrieval. In Advances in Computer Vision and Pattern Recognition (Vol. 64, pp. 209–228). Springer-Verlag London Ltd. https://doi.org/10.1007/978-3-319-05696-8_9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free