CIKM2021会议论文列表【医疗相关】

本文综述了两篇前沿研究论文,分别涉及基于记忆神经网络的多跳阅读在药物推荐中的应用,以及通过检索医疗文本实现健康风险解释的MedRetriever系统。同时,还有关于精准医疗搜索中治疗意识重排的探讨和医疗论坛问题分类的知识驱动模型。

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医疗相关

1. full papers

  • Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation ‐ Yanda Wang (Nanjing University of Aeronautics and Astronautics, China), Weitong Chen (The University of Queensland, Australia), Dechang Pi (Nanjing University of Aeronautics and Astronautics, China), Lin Yue (The University of Queensland, Australia), Miao Xu (The University of Queensland, Australia), Xue Li (The University of Queensland, Australia)

  • MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text ‐ Muchao Ye (The Pennsylvania State University, USA), Suhan Cui (The Pennsylvania State University, USA), Yaqing Wang (Purdue University, USA), Junyu Luo (The Pennsylvania State University, USA), Cao Xiao (Amplitude, USA), Fenglong Ma (The Pennsylvania State University, USA)

2. short papers

  • Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search ‐ Maciej Rybinski (CSIRO Data61, Australia), Sarvnaz Karimi (CSIRO Data61, Australia)

  • Knowledge-Aware Neural Networks for Medical Forum Question Classification ‐ Soumyadeep Roy (Indian Institute of Technology Kharagpur, India), Sudip Chakraborty (Indian Institute of Technology Kharagpur, India), Aishik Mandal (Indian Institute of Technology Kharagpur, India), Gunjan Balde (Indian Institute of Technology Kharagpur, India), Prakhar Sharma (Indian Institute of Technology Kharagpur, India), Anandhavelu Natarajan (Adobe Research, India), Megha Khosla (L3S Research Center, Germany), Shamik Sural (Indian Institute of Technology Kharagpur, India), Niloy Ganguly (Indian Institute of Technology Kharagpur, India)

  • Misbeliefs and Biases in Health-Related Searches ‐ Alexander Bondarenko (Martin-Luther-Universität Halle-Wittenberg, Germany), Ekaterina Shirshakova (Martin-Luther-Universität Halle-Wittenberg, Germany), Marina Driker (Ural State Medical University, Russian Fed.), Matthias Hagen (Martin-Luther-Universität Halle-Wittenberg, Germany), Pavel Braslavski (Ural Federal University & HSE University, Russian Fed.)

3. demo papers

  • IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks ‐ Feng Luo (Xiamen University, China), Yue Zhang (Xiamen University, China), Xiaoli Wang (Xiamen University, China)

  • MVQAS: A Medical Visual Question Answering System ‐ Haoyue Bai (Xiamen University, China), Xiaoyan Shan (Xiamen University, China), Yefan Huang (Xiamen University, China), Xiaoli Wang (Xiamen University, China)

  • RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19 ‐ Wei Li (Dublin City University, Ireland), Rishi Choudhary (Technological University Dublin, Ireland), Arjumand Younus (University College Dublin, Ireland), Bruno Ohana (Trinity College Dublin, Ireland), Nicole Baker (Trinity College Dublin, Ireland), Brendan Leen (Health Services Executive, Ireland), M. Atif Qureshi (Technological University Dublin, Ireland)

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