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Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Frost, M, Doryab, A, Faurholt-Jepsen, M, Kessing, LV & Bardram, J 2013, Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System. in Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System . Association for Computing Machinery. https://doi.org/10.1145/2493432.2493507

APA

Frost, M., Doryab, A., Faurholt-Jepsen, M., Kessing, L. V., & Bardram, J. (2013). Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System. In Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System Association for Computing Machinery. https://doi.org/10.1145/2493432.2493507

CBE

Frost M, Doryab A, Faurholt-Jepsen M, Kessing LV, Bardram J. 2013. Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System. In Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System . Association for Computing Machinery. https://doi.org/10.1145/2493432.2493507

MLA

Frost, Mads et al. "Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System". Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System . Association for Computing Machinery. 2013. https://doi.org/10.1145/2493432.2493507

Vancouver

Frost M, Doryab A, Faurholt-Jepsen M, Kessing LV, Bardram J. Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System. In Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System . Association for Computing Machinery. 2013 https://doi.org/10.1145/2493432.2493507

Author

Frost, Mads ; Doryab, Afsaneh ; Faurholt-Jepsen, Maria ; Kessing, Lars Vedel ; Bardram, Jakob. / Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System. Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System . Association for Computing Machinery, 2013.

Bibtex

@inproceedings{7d7e6e758b4c4abdacda67372ef037a1,
title = "Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System",
abstract = "There is a growing interest in personal health technologies that sample behavioral data from a patient and visualize this data back to the patient for increased health awareness. How- ever, a core challenge for patients is often to understand the connection between specific behaviors and health, i.e. to go beyond health awareness to disease insight. This paper presents MONARCA 2.0, which records subjective and ob- jective data from patients suffering from bipolar disorder, pro- cesses this, and informs both the patient and clinicians on the importance of the different data items according to the pa- tient{\textquoteright}s mood. The goal is to provide patients with a increased insight into the parameters influencing the nature of their dis- ease. The paper describes the user-centered design and the technical implementation of the system, as well as findings from an initial field deployment.",
author = "Mads Frost and Afsaneh Doryab and Maria Faurholt-Jepsen and Kessing, {Lars Vedel} and Jakob Bardram",
year = "2013",
doi = "10.1145/2493432.2493507",
language = "English",
isbn = "9781450317702",
booktitle = "Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System",
publisher = "Association for Computing Machinery",
address = "United States",

}

RIS

TY - GEN

T1 - Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System

AU - Frost, Mads

AU - Doryab, Afsaneh

AU - Faurholt-Jepsen, Maria

AU - Kessing, Lars Vedel

AU - Bardram, Jakob

PY - 2013

Y1 - 2013

N2 - There is a growing interest in personal health technologies that sample behavioral data from a patient and visualize this data back to the patient for increased health awareness. How- ever, a core challenge for patients is often to understand the connection between specific behaviors and health, i.e. to go beyond health awareness to disease insight. This paper presents MONARCA 2.0, which records subjective and ob- jective data from patients suffering from bipolar disorder, pro- cesses this, and informs both the patient and clinicians on the importance of the different data items according to the pa- tient’s mood. The goal is to provide patients with a increased insight into the parameters influencing the nature of their dis- ease. The paper describes the user-centered design and the technical implementation of the system, as well as findings from an initial field deployment.

AB - There is a growing interest in personal health technologies that sample behavioral data from a patient and visualize this data back to the patient for increased health awareness. How- ever, a core challenge for patients is often to understand the connection between specific behaviors and health, i.e. to go beyond health awareness to disease insight. This paper presents MONARCA 2.0, which records subjective and ob- jective data from patients suffering from bipolar disorder, pro- cesses this, and informs both the patient and clinicians on the importance of the different data items according to the pa- tient’s mood. The goal is to provide patients with a increased insight into the parameters influencing the nature of their dis- ease. The paper describes the user-centered design and the technical implementation of the system, as well as findings from an initial field deployment.

U2 - 10.1145/2493432.2493507

DO - 10.1145/2493432.2493507

M3 - Article in proceedings

SN - 9781450317702

BT - Supporting Disease Insight through Data Analysis: Refinements of the MONARCA Self-Assessment System

PB - Association for Computing Machinery

ER -

ID: 42382424