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Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks
The true onset time of a disease, particularly slow-onset diseases like Type 2 diabetes mellitus (T2DM), is rarely observable in electronic health records (EHRs). However, it is critical for analysis of time to events and for studying sequences of diseases. The aim of this study is to demonstrate a...
Tallennettuna:
| Julkaisussa: | Proc (IEEE Int Conf Healthc Inform) |
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| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5975351/ https://ncbi.nlm.nih.gov/pubmed/29862384 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICHI.2017.41 |
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