Disease Diagnosis with Cost-Sensitive Grouped Features Based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Computer Science and Engineering, Southeast University,Nanjing,China
2. School of Foreign Studies, Nanjing University of Posts and Telecommunications
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191167.pdf?arnumber=10191167
Reference45 articles.
1. Fit: a fast and accurate framework for solving medical inquiring and diagnosing tasks;he;ArXiv Preprint,2020
2. Classification with costly features as a sequential decision-making problem
3. Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning
4. BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis
5. Playing atari with deep reinforcement learning;mnih;ArXiv Preprint,2013
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