title: Reconstructing clinical events by interpreting NICU monitoring data.
abstract: Several studies are reported in literature that use electronically recorded data for aiding decision support/reporting in the Neonatal Intensive Care Unit (NICU). In this PhD research I investigate techniques to automatically reconstruct clinical events that are not recorded directly but could be reconstructed from continuous physiological data and other discrete data.
authors.affiliation: Department of Computing Science, University of Aberdeen. fgao@abdn.ac.uk
authors.forename: Feng
authors.initials: F
authors.lastname: Gao
mesh_terms: D001185:Artificial Intelligence; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D003625:Data Collection; D020000:Decision Support Systems, Clinical; D017598:Efficiency, Organizational; D005103:Expert Systems; D006801:Humans; D007231:Infant, Newborn; D016247:Information Storage and Retrieval; D007363:Intensive Care Units, Neonatal; D016347:Medical Records Systems, Computerized; D008991:Monitoring, Physiologic; D011795:Surveys and Questionnaires