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iSurvive: An Interpretable, Event-time Prediction Model for mHealth
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 adopti...
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| Udgivet i: | Proc Mach Learn Res |
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| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6430609/ https://ncbi.nlm.nih.gov/pubmed/30906932 |
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