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Adapting machine learning techniques to censored time-to-event health record data: a general-purpose approach using inverse probability of censoring weighting
Models for predicting the probability of experiencing various health outcomes or adverse events over a certain time frame (e.g., having a heart attack in the next 5 years) based on individual patient characteristics are important tools for managing patient care. Electronic health data (EHD) are appe...
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| Publicado no: | J Biomed Inform |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4893987/ https://ncbi.nlm.nih.gov/pubmed/26992568 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2016.03.009 |
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