research-article

Personalized versus Generic Mood Prediction Models in Bipolar Disorder

Authors:

Marios Constantinides,

Aleksandar Matic,

Maria Faurholt-Jepsen,

Lars Vedel Kessing,

Jakob E. BardramAuthors Info & Claims

UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

Pages 1700 - 1707

https://doi.org/10.1145/3267305.3267536

Published: 08 October 2018 Publication History

Abstract

A number of studies have been investigating the use of mobile phone sensing to predict mood in unipolar (depression) and bipolar disorder. However, most of these studies included a small number of people making it difficult to understand the feasibility of this method in practice. This paper reports on mood prediction from a large (N=129) sample of bipolar disorder patients. We achieved prediction accuracies of 89% and 58% in personalized and generic models respectively. Moreover, we shed light on the "cold-start" problem in practice and we show that the accuracy depends on the labeling strategy of euthymic states. The paper discusses the results, the difference between personalized and generic models, and the use of mobile phones in mental health treatment in practice.

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Cited By

Constantinides MBogucka EScepanovic SQuercia D(2024)Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable UsesProceedings of the ACM on Human-Computer Interaction10.1145/36765078:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676507
Jung GPark SMa EKim HLee U(2024)Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor DataACM Computing Surveys10.1145/364835656:9(1-33)Online publication date: 24-Apr-2024
https://dl.acm.org/doi/10.1145/3648356
Bogucka EConstantinides MDe Miguel Velazquez JScepanovic SQuercia DGvirtz A(2024)The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone MobileAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680447(1-6)Online publication date: 21-Sep-2024
https://dl.acm.org/doi/10.1145/3640471.3680447
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Index Terms

Personalized versus Generic Mood Prediction Models in Bipolar Disorder
1. Human-centered computing

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cover image ACM Conferences

UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers

October 2018

1881 pages

ISBN:9781450359665

DOI:10.1145/3267305

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
University of Florida: University of Florida
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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New York, NY, United States

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Published: 08 October 2018

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UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 8 - 12, 2018

Singapore, Singapore

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Cited By

Constantinides MBogucka EScepanovic SQuercia D(2024)Good Intentions, Risky Inventions: A Method for Assessing the Risks and Benefits of AI in Mobile and Wearable UsesProceedings of the ACM on Human-Computer Interaction10.1145/36765078:MHCI(1-28)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676507
Jung GPark SMa EKim HLee U(2024)Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor DataACM Computing Surveys10.1145/364835656:9(1-33)Online publication date: 24-Apr-2024
https://dl.acm.org/doi/10.1145/3648356
Bogucka EConstantinides MDe Miguel Velazquez JScepanovic SQuercia DGvirtz A(2024)The Atlas of AI Incidents in Mobile Computing: Visualizing the Risks and Benefits of AI Gone MobileAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680447(1-6)Online publication date: 21-Sep-2024
https://dl.acm.org/doi/10.1145/3640471.3680447
Teng SD'Alfonso SKostakos V(2024)A Tool for Capturing Smartphone Screen TextProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642347(1-24)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642347
Tervonen JNath RPettersson KNärväinen JMäntyjärvi J(2023)Cold-Start Model Adaptation: Evaluation of Short Baseline CalibrationAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3610731(417-422)Online publication date: 8-Oct-2023
https://dl.acm.org/doi/10.1145/3594739.3610731
Meegahapola LConstantinides MRadivojevic ZLi HQuercia DEggleston M(2023)Quantified Canine: Inferring Dog Personality From WearablesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581088(1-19)Online publication date: 19-Apr-2023
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Girousse EVuillerme N(2022)The Use of Passive Smartphone Data to Monitor Anxiety and Depression Among College Students in Real-World Settings: Protocol for a Systematic ReviewJMIR Research Protocols10.2196/3878511:12(e38785)Online publication date: 14-Dec-2022
https://doi.org/10.2196/38785
Nova FCoupe AMynatt EGuha SPater J(2022)Cultivating the CommunityProceedings of the ACM on Human-Computer Interaction10.1145/34928266:GROUP(1-33)Online publication date: 14-Jan-2022
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Llamocca PLópez VSantos MČukić M(2021)Personalized Characterization of Emotional States in Patients with Bipolar DisorderMathematics10.3390/math91111749:11(1174)Online publication date: 22-May-2021
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Buda TKhwaja MMatic A(2021)Outliers in Smartphone Sensor Data Reveal Outliers in Daily HappinessProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34480955:1(1-19)Online publication date: 30-Mar-2021
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