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With the rise of telemedicine, the task of developing Dialogue Systems for Medical Diagnosis (DSMD) has received much attention in recent years.
Medical diagnosis using bayes theorem
Thomas L Lincoln and Rodger D Parker · 1967
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MYCIN: A rule-based computer program for advising physicians regarding antimicrobial therapy selection
Edward H. Shortliffe · 1974
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DIALOG: A model of diagnostic logic for internal medicine
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Nevin L Zhang and David Poole · 1994
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Construction of a bayesian network for mammographic diagnosis of breast cancer
Charles E Kahn Jr, Linda M Roberts, Katherine A Shaffer, and Peter Haddawy · 1997
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Computer-assisted diagnosis of breast cancer using a data-driven bayesian belief network
Xiao-Hui Wang, Bin Zheng, Walter F Good, Jill L King, and Yuan-Hsiang Chang · 1999
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Ontology-based dialogue systems
David Milward and Martin Beveridge · 2003
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An integrative predictive model of coronary artery calcification in arteriosclerosis
Michael McGeachie, Rachel L Badovinac Ramoni, Josyf C Mychaleckyj, Karen L Furie, Jonathan M Dreyfuss, Yongmei Liu, David Herrington, Xiuqing Guo, João A Lima, Wendy Post, et al · 2009
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Incorporating expert knowledge when learning bayesian network structure: a medical case study
M Julia Flores, Ann E Nicholson, Andrew Brunskill, Kevin B Korb, and Steven Mascaro · 2011
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin · 2018
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Task-oriented dialogue system for automatic diagnosis
Zhongyu Wei, Qianlong Liu, Baolin Peng, Huaixiao Tou, Ting Chen, Xuanjing Huang, Kamfai Wong, and Xiangying Dai · 2018
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Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, and Xuanjing Huang · 2020
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Meddg: A large-scale medical consultation dataset for building medical dialogue system
Wenge Liu, Jianheng Tang, Jinghui Qin, Lin Xu, Zhen Li, and Xiaodan Liang · 2020
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Interpretable machine learning: A guide for making black box models explainable
Christoph Molnar · 2020
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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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A graph-based and patient demographics aware dialogue system for disease diagnosis
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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.
Towards interpretable clinical diagnosis with bayesian network ensembles stacked on entity-aware cnns
Jun Chen, Xiaoya Dai, Quan Yuan, Chao Lu, and Haifeng Huang · 2020
Cited alongside, same era.
FIT: A fast and accurate framework for solving medical inquiring and diagnosing tasks
Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, and Ting Chen · 2020
Cited alongside, same era.
Xinyan Zhao, Liangwei Chen, and Huanhuan Chen · 2020
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Perspective-taking and pragmatics for generating empathetic responses focused on emotion causes
Hyunwoo Kim, Byeongchang Kim, and Gunhee Kim · 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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Heterogeneous graph reasoning for knowledge-grounded medical dialogue system
Wenge Liu, Jianheng Tang, Xiaodan Liang, and Qingling Cai · 2021
Later among the works it cites.