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 5years) based on individual patient characteristics are important tools for managing patient care. Electronic health data (EHD) are appea...

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Publicado en:	Journal of Biomedical Informatics Vol. 61; pp. 119 - 132
Autores principales:	Vock, David M., Wolfson, Julian, Bandyopadhyay, Sunayan, Adomavicius, Gediminas, Johnson, Paul E., Vazquez-Benitez, Gabriela, O’Connor, Patrick J., O'Connor, Patrick J
Formato:	research Journal Article
Publicado:	Academic Press Inc. Jun2016
Acceso en línea:	Ver este registro en EBSCOhost