AALIM: Multimodal Mining for Cardiac Decision Support

被引：14

作者：

Syeda-Mahmood, T. ^{[1
]}

Wang, F. ^{[1
]}

Beymer, D. ^{[1
]}

Amir, A. ^{[1
]}

Richmond, M. ^{[1
]}

Hashmi, S. N. ^{[1
]}

机构：

[1] IBM Corp, Almaden Res Ctr, San Jose, CA 95120 USA

来源：

COMPUTERS IN CARDIOLOGY 2007, VOL 34 | 2007年 / 34卷

关键词：

D O I：

10.1109/CIC.2007.4745458

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Diagnostic decision support is still very much an art for physicians in their practices today due to lack of quantitative tools. AALIM is a decision support system for cardiology that exploits the consensus opinions of other physicians who have looked at similar patients, to present statistical reports summarizing possible diagnoses. The key idea behind our statistical decision support system is the search for similar patients based on the underlying multimodal data. In this paper, we describe the AALIM decision support system and the underlying multimodal similarity search used for cardiac data sets.

引用

页码：209 / 212

页数：4

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