Data-driven Automatic Treatment Regimen Development and Recommendation

By Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie. 2016

58 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Information Management, Molecular Biology

How researchers see this paper

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

In Artificial Intelligence

1. Hongyuan Zha
2. Xiaofeng He
3. Wei Zhang
4. Chris H. Q. Ding
5. Tao Li
6. Michael I. Jordan
7. Haesun Park
8. Sham M. Kakade

In Health Information Management

1. Xiaofeng He
2. Hongyuan Zha
3. Wei Zhang

In Molecular Biology

1. Hongyuan Zha
2. Xiaofeng He
3. Wei Zhang
4. Chris H. Q. Ding
5. Tao Li

Citations in the corpus

• Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation (2018, methodology): “Several patternbased methods generate recommendations by utilizing the similarity of patients [15, 33, 40], but they are challenging to directly learn the relation between patients and medications.”
• Personalized Prescription for Comorbidity (2018, methodology): “Prescription settled by pattern-based methods is to identify the treatments based on the similarities among records of patients [9,10,21].”