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Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Publication ,  Journal Article
Zhang, X; Henao, R; Gan, Z; Li, Y; Carin, L
Published in: Proceedings of Machine Learning Research
January 1, 2018

Predicting diagnoses from Electronic Health Records (EHRs) is an important medical application of multi-label learning. We propose a convolutional residual model for multi-label classification from doctor notes in EHR data. A given patient may have multiple diagnoses, and therefore multi-label learning is required. We employ a Convolutional Neural Network (CNN) to encode plain text into a fixed-length sentence embedding vector. Since diagnoses are typically correlated, a deep residual network is employed on top of the CNN encoder, to capture label (diagnosis) dependencies and incorporate information directly from the encoded sentence vector. A real EHR dataset is considered, and we compare the proposed model with several well-known baselines, to predict diagnoses based on doctor notes. Experimental results demonstrate the superiority of the proposed convolutional residual model.

Duke Scholars

Published In

Proceedings of Machine Learning Research

EISSN

2640-3498

Publication Date

January 1, 2018

Volume

85

Start / End Page

280 / 294
 

Citation

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ICMJE
MLA
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Zhang, X., Henao, R., Gan, Z., Li, Y., & Carin, L. (2018). Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. Proceedings of Machine Learning Research, 85, 280–294.
Zhang, X., R. Henao, Z. Gan, Y. Li, and L. Carin. “Multi-Label Learning from Medical Plain Text with Convolutional Residual Models.” Proceedings of Machine Learning Research 85 (January 1, 2018): 280–94.
Zhang X, Henao R, Gan Z, Li Y, Carin L. Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. Proceedings of Machine Learning Research. 2018 Jan 1;85:280–94.
Zhang, X., et al. “Multi-Label Learning from Medical Plain Text with Convolutional Residual Models.” Proceedings of Machine Learning Research, vol. 85, Jan. 2018, pp. 280–94.
Zhang X, Henao R, Gan Z, Li Y, Carin L. Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. Proceedings of Machine Learning Research. 2018 Jan 1;85:280–294.

Published In

Proceedings of Machine Learning Research

EISSN

2640-3498

Publication Date

January 1, 2018

Volume

85

Start / End Page

280 / 294