About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
ICHI 2019
Conference paper
A data-driven clinical decision support system for acute coronary syndrome patient similarity
Abstract
Both data-driven clinical decision support system (CDSS) and patient similarity are important topics in healthcare informatics to facilitate precision medicine. However, approaches to combine both are less studied. In this study, we proposed a framework of data-driven CDSS for patient similarity and presented a case study describing a prototype system for acute coronary syndrome patients.