DocumentCode
621898
Title
Disease insights through analysis: Using machine learning to provide feedback in the MONARCA system
Author
Frost, Michael ; Bardram, Jakob E. ; Doryab, Afsaneh
Author_Institution
Pervasive Interaction Technol. Lab., IT Univ. of Copenhagen, Copenhagen, Denmark
fYear
2013
fDate
5-8 May 2013
Firstpage
315
Lastpage
316
Abstract
There is currently a growing interest in personal health technologies using data collection strategies to develop context-aware systems. The insights from this data could help patients and clinicians monitor and manage mental illness. We describe our approach to support the data analysis and feedback to clinicians and patients through extending the MONARCA Self-Assessment System.
Keywords
data analysis; diseases; health care; learning (artificial intelligence); medical computing; mobile computing; operating systems (computers); MONARCA Android application; MONARCA self-assessment system; context-aware system; data analysis; data collection strategy; data feedback; disease insight; machine learning; mental illness management; personal health technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013 7th International Conference on
Conference_Location
Venice
Print_ISBN
978-1-4799-0296-5
Electronic_ISBN
978-1-936968-80-0
Type
conf
Filename
6563955
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