Publication

Computers in Cardiology / Physionet Challenge 2009: Predicting Acute Hypotensive Episodes

Jean-Marc Vesin, Mathieu Lemay, Florian Jousset
2009
Conference Papers

Abstract

The goal of the Computers in Cardiology / Physionet Challenge 2009 is to predict which patients will experience acute hypotensive episode within a forecast window of one hour. In our study, statistically robust features extracted from the supplied training set were defined. A Support Vector Machine was used to classify these features. In this paper, we present our method, results and conclusion about this statistical approach.

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https://infoscience.epfl.ch/entities/publication/80bbe523-9f53-46c4-9dbd-2d79fb93c715

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Jean-Marc Vesin, Mathieu Lemay, Florian Jousset
2009
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/80bbe523-9f53-46c4-9dbd-2d79fb93c715

About this result

Related concepts (8)

Statistical assumption

Statistics, like all mathematical disciplines, does not infer valid conclusions from nothing. Inferring interesting conclusions about real statistical populations almost always requires some background assumptions. Those assumptions must be made carefully, because incorrect assumptions can generate wildly inaccurate conclusions. Here are some examples of statistical assumptions: Independence of observations from each other (this assumption is an especially common error). Independence of observational error from potential confounding effects.

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