AALIM: Multimodal mining for cardiac decision support

Abstract

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.