Search Results for author: David C. Kale

Found 8 papers, 2 papers with code

Effective Representations of Clinical Notes

no code implementations19 May 2017 Sebastien Dubois, Nathanael Romano, David C. Kale, Nigam Shah, Kenneth Jung

We used the learned representations, along with commonly used bag of words and topic model representations, as features for predictive models of clinical events.

Feature Engineering Transfer Learning

Intra-day Activity Better Predicts Chronic Conditions

no code implementations4 Dec 2016 Tom Quisel, David C. Kale, Luca Foschini

In this work we investigate intra-day patterns of activity on a population of 7, 261 users of mobile health wearable devices and apps.

Classification General Classification +2

Toward Interpretable Topic Discovery via Anchored Correlation Explanation

no code implementations22 Jun 2016 Kyle Reing, David C. Kale, Greg Ver Steeg, Aram Galstyan

Many predictive tasks, such as diagnosing a patient based on their medical chart, are ultimately defined by the decisions of human experts.

Learning to Diagnose with LSTM Recurrent Neural Networks

no code implementations11 Nov 2015 Zachary C. Lipton, David C. Kale, Charles Elkan, Randall Wetzel

We present the first study to empirically evaluate the ability of LSTMs to recognize patterns in multivariate time series of clinical measurements.

Time Series

Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks

no code implementations26 Oct 2015 Zachary C. Lipton, David C. Kale, Randall C. Wetzel

We present a novel application of LSTM recurrent neural networks to multilabel classification of diagnoses given variable-length time series of clinical measurements.

General Classification Time Series

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