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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
