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
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;
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
