In Reply: Towards precision medicine: phenotyping bronchiectasis with unsupervised learning technique.

By W. Guan, M. Jiang, Yong-hua Gao, R. Chen, N. Zhong. 2016

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Zexian Zeng
2. Yu Deng
3. Xiaoyu Li
4. Tristan Naumann
5. Yuan Luo
6. Liang Yao
7. Ozlem Uzuner
8. Chengsheng Mao

Citations in the corpus

• Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “Unsupervised learning, on the other hand, can automatically classify phenotypes without extra annotations by experts [105, 140, 141].”