Mining Electronic Health Records to Improve Remote Health Monitoring

منو

" Mining Electronic Health Records to Improve Remote Health Monitoring "
Sideris, Konstantinos Sideris Sarrafzadeh, Majid

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	914930
Doc. No	:	TL6360z5q9
Main Entry	:	Sideris, Konstantinos Sideris
Title & Author	:	Mining Electronic Health Records to Improve Remote Health Monitoring\ Sideris, Konstantinos SiderisSarrafzadeh, Majid
College	:	UCLA
Date	:	2016
student score	:	2016
Abstract	:	Remote Health Monitoring Systems (RHMS) provide a continuous stream of patient physiological data that allows nurses and doctors to make timely decisions and help patients manage their chronic conditions. As the number of patients effectively managed by these informational systems increases, the need for more sophisticated approaches in health analytics becomes significant. The purpose of this work is to provide methodologies and tools for a more systematic approach in building RHMS. New algorithms are presented that mine various informational sources, especially Electronic Health Records (EHR), to design more generalizable analytics models for RHMS. In addition, a prototype RHMS system is developed that collects and graphically represents health data from a variety of sources.
Added Entry	:	Sarrafzadeh, Majid
Added Entry	:	UCLA