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Medical automatic diagnosis aims to imitate human doctors in real-world diagnostic processes and to achieve accurate diagnoses by interacting with the patients.
Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David McAllester, Satinder Singh, and Yishay Mansour · 1999
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Machine learning for medical diagnosis: history, state of the art and perspective
Igor Kononenko · 2001
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Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis
Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, and Liang Lin · 2003
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Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin A. Riedmiller · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Inquire and diagnose: Neural symptom checking ensemble using deep reinforcement learning
Kai-Fu Tang, Hao-Cheng Kao, Chun-Nan Chou, and Edward Y Chang · 2016
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Adam: A method for stochastic optimization, 2017
Diederik P. Kingma and Jimmy Ba · 2017
Earlier work this paper cites.
Context-aware symptom checking for disease diagnosis using hierarchical reinforcement learning
Hao-Cheng Kao, Kai-Fu Tang, and Edward Y. Chang · 2018
Cited alongside, same era.
Explainable prediction of medical codes from clinical text
James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, and Jacob Eisenstein · 2018
Cited alongside, same era.
Refuel: Exploring sparse features in deep reinforcement learning for fast disease diagnosis
Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, and Edward Chang · 2018
Cited alongside, same era.
Task-oriented dialogue system for automatic diagnosis
Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kam-fai Wong, and Xiangying Dai · 2018
Cited alongside, same era.
End-to-end knowledge-routed relational dialogue system for automatic diagnosis
Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, and Liang Lin · 2019
Cited alongside, same era.
Generative adversarial regularized mutual information policy gradient framework for automatic diagnosis
Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, and Haifeng Huang · 2020
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Fit: a fast and accurate framework for solving medical inquiring and diagnosing tasks, 2021
Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, and Ting Chen · 2021
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Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, and Maarten de Rijke · 2021
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Towards a reliable and robust dialogue system for medical automatic diagnosis, 2021
Junfan Lin, Lin Xu, Ziliang Chen, and Liang Lin · 2021
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Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, and Liang Lin · 2021
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Dan Hendrycks and Kevin Gimpel · 2020
Cited alongside, same era.
Task-oriented dialogue system for automatic disease diagnosis via hierarchical reinforcement learning, 2020
Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, and Xuanjing Huang · 2020
Cited alongside, same era.
Reinforcement learning in healthcare: A survey, 2020
Chao Yu, Jiming Liu, and Shamim Nemati · 2048
Closest in time.