beatDB: A Large Scale Waveform Feature Repository

NIPS 2013, Machine Learning for Clinical Data Analysis and Healthcare Workshop

Published December 10, 2013

Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly

A great majority of the effort is spent assembling the data and formulating the features, while, rather ironically, the model building exercise takes relatively less time. beatDB aims at radically shrinking the time of large scale investigations by judiciously pre-computing beat features which are likely to be frequently used. In this paper, we present beatDB structure and use beatDB for a concrete research study: predicting acute hypotensive event with blood pressure.

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Research Area:  AI & Machine Learning