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dc.contributor.advisorAmar Gupta.en_US
dc.contributor.authorDshkhunyan, Narek.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2019-11-12T17:40:13Z
dc.date.available2019-11-12T17:40:13Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122867
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 63-64).en_US
dc.description.abstractTelemedicine is an exciting development at the intersection of technology and medicine, which promises to improve health care systems and alleviate the workload on doctors and nurses alike at hospital intensive care units. While much work has been done on assessing the benefits of telemedicine compared to traditional approaches, we do not know which are the characteristics of patients that will benefit most from the introduction of tele-ICU systems in hospitals. In this thesis, we analyzed two large databases that contain plethora of deidentified health records about patients treated in traditional and tele-ICU hospitals, named MIMIC and eICU-CRD, respectively. By comparing key patient outcomes such as length of stay and mortality, and running sophisticated statistical methods, we identified certain traits of admitted patients that constantly benefit more from the presence of eICU than other patients. We hope that this work will help hospitals around the country and the world as they are preparing their facilites for the new generation of technologies.en_US
dc.description.statementofresponsibilityby Narek Dshkhunyan.en_US
dc.format.extent64 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleTelemedicine systems at intensive care units : identifying patients that benefit mosten_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1126542791en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2019-11-12T17:40:12Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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