Ontology highlight
ABSTRACT:
SUBMITTER: Dempsey WH
PROVIDER: S-EPMC6430609 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Proceedings of machine learning research 20170101
An important mobile health (mHealth) task is the use of multimodal data, such as sensor streams and self-report, to construct interpretable time-to-event predictions of, for example, lapse to alcohol or illicit drug use. Interpretability of the prediction model is important for acceptance and adoption by domain scientists, enabling model outputs and parameters to inform theory and guide intervention design. Temporal latent state models are therefore attractive, and so we adopt the continuous tim ...[more]