Research Article
Disease Insights Through Analysis: Using machine learning to provide feedback in the MONARCA system
@INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252071, author={Mads Frost and Afsaneh Doryab and Jakob Bardram}, title={Disease Insights Through Analysis: Using machine learning to provide feedback in the MONARCA system}, proceedings={7th International Conference on Pervasive Computing Technologies for Healthcare}, publisher={IEEE}, proceedings_a={PERVASIVEHEALTH}, year={2013}, month={5}, keywords={healthcare bipolar disorder monitoring system machine learning feedback system}, doi={10.4108/icst.pervasivehealth.2013.252071} }- Mads Frost
Afsaneh Doryab
Jakob Bardram
Year: 2013
Disease Insights Through Analysis: Using machine learning to provide feedback in the MONARCA system
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2013.252071
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.
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