Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources

Author:

Bai Tian1,Vucetic Slobodan1

Affiliation:

1. Temple University, USA

Publisher

ACM Press

Reference41 articles.

1. Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng, and Nigam H Shah. 2017. Improving palliative care with deep learning. In Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on. IEEE, 311-316.

2. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

3. Tian Bai, Ashis Kumar Chanda, Brian L Egleston, and Slobodan Vucetic. 2017. Joint learning of representations of medical concepts and words from ehr data. In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 764-769.

4. Tian Bai, Ashis Kumar Chanda, Brian L Egleston, and Slobodan Vucetic. 2018. EHR phenotyping via jointly embedding medical concepts and words into a unified vector space. BMC medical informatics and decision making 18, 4 (2018), 123.

5. Tian Bai, Shanshan Zhang, Brian L Egleston, and Slobodan Vucetic. 2018. Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 43-51.

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