dblp: Health Information Science 2022 (original) (raw)

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11th HIS 2022: Virtual Event

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  • Applications of Health and Medical Data
  • Health and Medical Data Processing
  • Health and Medical Data Mining via Graph-based Approaches
  • Health and Medical Data Classification

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    Agma J. M. Traina, Hua Wang, Yong Zhang, Siuly Siuly, Rui Zhou, Lu Chen:
    Health Information Science - 11th International Conference, HIS 2022, Virtual Event, October 28-30, 2022, Proceedings. Lecture Notes in Computer Science 13705, Springer 2022, ISBN 978-3-031-20626-9

Applications of Health and Medical Data

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    Pritam Deka, Anna Jurek-Loughrey, Deepak P:
    Evidence Extraction to Validate Medical Claims in Fake News Detection. 3-15
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    Umme Marzia Haque, Md. Enamul Kabir, Rasheda Khanam:
    Detection of Obsessive-Compulsive Disorder in Australian Children and Adolescents Using Machine Learning Methods. 16-25
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    Peng Ren, Zhiyuan Tian, Zeyu Wang, Xin Li, Xia Wang, Tao Zhao, Ming Sheng:
    An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series. 26-33
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    Durgesh Samariya, Jiangang Ma:
    Anomaly Detection on Health Data. 34-41
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    Ashik Mostafa Alvi, Siuly Siuly, Maria Cristina De Cola, Hua Wang:
    DRAM-Net: A Deep Residual Alzheimer's Diseases and Mild Cognitive Impairment Detection Network Using EEG Data. 42-53
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    Shahab A. Abdulla, Mohammed Diykh, Sarmad K. D. AlKhafaji, Atheer Y. Oudah, Haydar Abdulameer Marhoon, Rand Ameen Azeez:
    An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal. 54-63
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    Jitao Yang:
    Tailored Nutrition Service to Reduce the Risk of Chronic Diseases. 64-75
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    Annelore Jellemijn Pieters, Stefan Schlobach:
    Combining Process Mining and Time Series Forecasting to Predict Hospital Bed Occupancy. 76-87
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    Zecheng Yin, Yingpei Wu, Yanchun Zhang:
    HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation. 88-99
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    Muhammad Tariq Sadiq, Hesam Akbari, Siuly Siuly, Yan Li, Paul Wen:
    Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG. 100-112
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    Zeyu Wang, Huiying Zhao, Peng Ren, Yuxi Zhou, Ming Sheng:
    Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space. 113-124

Health and Medical Data Processing

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    Qi Xiao, Wenkui Zheng, Chenyu Mao, Wei Hou, Hao Lan, Daojun Han, Yang Duan, Peng Ren, Ming Sheng:
    MHDML: Construction of a Medical Lakehouse for Multi-source Heterogeneous Data. 127-135
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    Peng Ren, Xingyue Liu, Shuxin Zheng, Lijun Liao, Xin Li, Ligong Lu, Xia Wang, Ruoyu Wang, Ming Sheng:
    A Hybrid Medical Causal Inference Platform Based on Data Lake. 136-144
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    Shuang Ding, Chenyu Mao, Wenkui Zheng, Qi Xiao, Yitao Wu:
    Data Exploration Optimization for Medical Big Data. 145-156
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    Hung Ba Ngo, Nguyen Chi Tran:
    Improving Data Analytic Performance in Health Information System with Big Data Technology. 157-164
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    Qin Cui, Wenkui Zheng, Wei Hou, Ming Sheng, Peng Ren, Wang Chang, Xiangyang Li:
    HoloCleanX: A Multi-source Heterogeneous Data Cleaning Solution Based on Lakehouse. 165-176
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    Long Yin Guo, Lin Xia, Xin-Yi Huang, Yu Xin Fu, Xin-Yi Li, Si Chen Zhou, Chao Zhao, Bing Xiang Yang:
    The Construction and Validation of an Automatic Crisis Balance Analysis Model. 177-188
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    Joshua Lee, Joon Soo Park, Hua Wang, Boxi Feng, Kate N. Wang:
    Assessing the Utilisation of TELedentistry from Perspectives of Early Career Dental Practitioners - Development of the UTEL Questionnaire. 189-196
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    Xinyu Pang, Yong-Feng Ge, Kate N. Wang:
    Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System. 197-208
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    Yahong Yao, Shaofu Lin, Zhisheng Huang, Shushi Li, Chaohui Guo, Ying Wu:
    Research on the Construction of Psychological Crisis Intervention Strategy Service System. 209-216
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    Sandro Luís Freire de Castro Silva, Bruno Elias Penteado, Rodrigo Pereira dos Santos, Marcelo Fornazin:
    Towards a Perspective to Analyze Emergent Systems in Health Domain. 217-228

Health and Medical Data Mining via Graph-based Approaches

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    Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang:
    Food Recommendation for Mental Health by Using Knowledge Graph Approach. 231-242
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    Wei Hou, Wenkui Zheng, Ming Sheng, Peng Ren, Baifu Zuo, Zhentao Hu, Xianxing Liu, Yang Duan:
    Medical Knowledge Graph Construction Based on Traceable Conversion. 243-257
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    Markian Jaworsky, Xiaohui Tao, Jianming Yong, Lei Pan, Ji Zhang, Shiva Raj Pokhrel:
    Automated Knowledge Graph Construction for Healthcare Domain. 258-265
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    Supriya, Tony Jan, Nandini Sidnal, Scott Thompson-Whiteside:
    Alcoholic EEG Data Classification Using Weighted Graph-Based Technique. 266-276

Health and Medical Data Classification

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    Xiaoyi Lian, Lina Chen, Xiayan Ji, Fangyao Shen, Hongjie Guo, Hong Gao:
    Optical Coherence Tomography Classification Based on Transfer Learning and RA-Attention. 279-290
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    Tianbo Xu, Le Sun, Sudha Subramani, Yilin Wang:
    Intelligent Interpretation and Classification of Multivariate Medical Time Series Based on Convolutional Neural Networks. 291-302
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    Rand Ameen Azeez, Sarmad K. D. Alkhafaji, Mohammed Diykh, Shahab A. Abdulla:
    ECG Signals Classification Model Based on Frequency Domain Features Coupled with Least Square Support Vector Machine (LS-SVM). 303-312
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    Fernando Jaume-Santero, Boya Zhang, Dimitrios Proios, Anthony Yazdani, Racha Gouareb, Mina Bjelogrlic, Douglas Teodoro:
    Cluster Analysis of Low-Dimensional Medical Concept Representations from Electronic Health Records. 313-324

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