A two-step approach for the prediction of mood levels based on diary data

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

Authors

The analysis of diary data can increase insights into patients suffering from mental disorders and can help to personalize online interventions. We propose a two-step approach for such an analysis. We first categorize free text diary data into activity categories by applying a bag-of-words approach and explore recurrent neuronal networks to support this task. In a second step, 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 MCMC techniques and compare the models regarding their predictive performance. This two-step approach leads to an increased interpretability about the relationships between various activity categories and the individual mood level.

Original languageEnglish
Title of host publicationMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings : European Conference, ECML PKDD 2018, Dublin, Ireland
EditorsUlf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
Number of pages4
Place of PublicationCham
PublisherSpringer International Publishing
Publication date2019
Pages626-629
ISBN (print)978-3-030-10996-7
ISBN (electronic)978-3-030-10997-4
DOIs
Publication statusPublished - 2019
EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2018 - Dublin, Ireland
Duration: 10.09.201814.09.2018
http://www.ecmlpkdd2018.org/

Recently viewed

Publications

  1. Integrating Mobile Devices into AAL-Environments using Knowledge based Assistance Systems
  2. Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
  3. Making an Impression Through Openness
  4. The elicitation process in developing of case library for Case-Based Reasoner system whilst consideration for validating electronic communication technologies
  5. Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa
  6. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  7. Global temporal typing patterns in foreign language writing
  8. Design and characterization of an EOG signal acquisition system based on the programming of saccadic movement routines
  9. Globally asymptotic output feedback tracking of robot manipulators with actuator constraints
  10. Institutional Proxy Representatives of Future Generations
  11. Early Detection of Faillure in Conveyor Chain Systems by Wireless Sensor Node
  12. How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models?
  13. Taking notes as a strategy for solving reality-based tasks in mathematics
  14. Contextual movement models based on normalizing flows
  15. Formative Perspectives on the Relation Between CSR Communication and CSR Practices
  16. An evaluation of BPR methodologies adopting NIMSAD: A systematic framework for understanding and evaluating methodologies
  17. Mapping Khulan habitats - a GIS based approach.
  18. Modelling and Optimization of Commuter Flows as Queuing System Considering Customer and Environmental Costs
  19. Getting down to specifics on RCA [Resource Consumption Accounting]