Predicting the Individual Mood Level based on Diary Data

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Understanding mood changes of individuals with depressive disorders is crucial in order to guide personalized therapeutic interventions. Based on diary data, in which clients of an online depression treatment report their activities as free text, we categorize these activities and predict the mood level of clients. We
apply a bag-of-words text-mining approach for activity categorization and explore recurrent neuronal networks to support this task. Using the identified activities, we develop partial ordered logit models with varying levels of heterogeneity among clients to predict their mood. We estimate the parameters of these models by employing Markov Chain Monte Carlo techniques and compare the models regarding their predictive performance. Therefore, by combining text-mining and Bayesian estimation techniques, we apply a two-stage analysis approach in order to reveal relationships between various activity categories and the individual mood level. Our findings indicate that the mood level is influenced negatively when participants report about sickness or rumination. Social activities have a positive influence on the mood.
By understanding the influences of daily activities on the individual mood level, we hope to improve the efficacy of online behavior therapy, provide support in the context of clinical decision-making, and contribute to the development of personalized interventions.
Original languageEnglish
Title of host publicationProceedings of the 25th European Conference on Information Systems, ECIS 2017
Number of pages17
PublisherAIS eLibrary
Publication date06.2017
Pages1161-1177
ISBN (print)978-989-20-7655-3
ISBN (electronic)9780991556700
Publication statusPublished - 06.2017
Event25th European Conference on Information Systems - ECIS 2017 - Guimaraes, Portugal
Duration: 05.06.201710.06.2017
Conference number: 25
https://aisel.aisnet.org/ecis2017/

Bibliographical note

Publisher Copyright:
© 2017 Proceedings of the 25th European Conference on Information Systems, ECIS 2017. All rights reserved.

    Research areas

  • Business informatics - Decision Support, E-mental health, Text-Mining, Bayesian Method, Personalized Treatments

Links

Recently viewed

Researchers

  1. Marcus Erben

Publications

  1. Applying the Three Horizons approach in local and regional scenarios to support policy coherence in SDG implementation
  2. An intersection test for the cointegrating rank in dependent panel data
  3. Modernizing persistence–bioaccumulation–toxicity (PBT) assessment with high throughput animal-free methods
  4. Learning from Erroneous Examples: When and How do Students Benefit from them?
  5. The Open Anchoring Quest Dataset: Anchored Estimates from 96 Studies on Anchoring Effects
  6. Use of design methods, team leaders' goal orientation, and team effectiveness: A follow-up study in software development projects
  7. The Relation of Children's Performances in Spatial Tasks at Two Different Scales of Space
  8. Language and Mathematics - Key Factors influencing the Comprehension Process in reality-based Tasks
  9. Fusion of knowledge bases for better navigation of wheeled mobile robotic group with 3D TVS
  10. Cognitive load in reading a foreign language text with multimedia aids and the influence of verbal and spatial abilities
  11. Predicate‐based model of problem‐solving for robotic actions planning
  12. Multidimensionality of tree communities structure host-parasitoid networks and their phylogenetic composition
  13. Towards a caring transdisciplinary research practice
  14. Self-perception of the internal audit function within the corporate governance system - Empirical evidence for the European Union
  15. Hedge Detection Using the RelHunter Approach
  16. Combining sense of place theory with the ecosystem services concept: empirical insights and reflections from a participatory mapping study
  17. Project and Design of a Catamaran Prototype with Aerial Propulsion System
  18. Experimental investigation of the fluid-structure interaction during deep drawing of fiber metal laminates in the in-situ hybridization process
  19. The Augmented Theorist - Toward Automated Knowledge Extraction from Conceptual Models
  20. How leaders’ diversity beliefs alter the impact of faultlines on team functioning
  21. Artistic dynamics across the Seas
  22. Differentiating Different Types of Cognitive Load
  23. Jackson networks in nonautonomous random environments
  24. Explaining Investment Dynamics: Empirical Evidence from German New Ventures
  25. Home range size and resource use of breeding and non-breeding white storks along a land use gradient
  26. Computational modelling of submicron-sized metallic glasses
  27. Trainingsqualität durch Trainingsquantität?
  28. Structure as Infrastructure: The Interrelation of Fiber and Construction
  29. What drives the spatial distribution and dynamics of local species richness in tropical forest?
  30. Electrical and Mechanical Characterization of Polymer Nanofibers for Sensor Application
  31. Assessment of cognitive load in multimedia learning with dual-task methodology
  32. Microstructure, mechanical and functional properties of refill friction stir spot welds on multilayered aluminum foils for battery application
  33. Analyzing Talk and Text II: Thematic Analysis
  34. Determining Lot Sizes in Production Areas
  35. Do Specific Text Features Influence Click Probabilities in Paid Search Advertising?
  36. Using Multi-Label Classification for Improved Question Answering
  37. Ähnlichkeit mit unähnlichen Mitteln
  38. Precrop functional group identity affects yield of winter barley but less so high carbon amendments in a mesocosm experiment
  39. Performance of the DSM-5-based criteria for Internet addiction
  40. Analyzing Emotional Styles in the Field of Christian Religion and The Relevance of New Types of Visualization
  41. Risk Aversion and Sorting into Public Sector Employment
  42. Operationalizing Network Theory for Ecosystem Service Assessments