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ORCID11th HIS 2022: Virtual Event
- 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
- Pritam Deka, Anna Jurek-Loughrey, Deepak P:
Evidence Extraction to Validate Medical Claims in Fake News Detection. 3-15 - Umme Marzia Haque, Md. Enamul Kabir, Rasheda Khanam:
Detection of Obsessive-Compulsive Disorder in Australian Children and Adolescents Using Machine Learning Methods. 16-25 - 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 - Durgesh Samariya, Jiangang Ma:
Anomaly Detection on Health Data. 34-41 - 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 - 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 - Jitao Yang:
Tailored Nutrition Service to Reduce the Risk of Chronic Diseases. 64-75 - Annelore Jellemijn Pieters, Stefan Schlobach:
Combining Process Mining and Time Series Forecasting to Predict Hospital Bed Occupancy. 76-87 - Zecheng Yin, Yingpei Wu, Yanchun Zhang:
HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation. 88-99 - Muhammad Tariq Sadiq, Hesam Akbari, Siuly Siuly, Yan Li, Paul Wen:
Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG. 100-112 - 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
- 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 - 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 - Shuang Ding, Chenyu Mao, Wenkui Zheng, Qi Xiao, Yitao Wu:
Data Exploration Optimization for Medical Big Data. 145-156 - Hung Ba Ngo, Nguyen Chi Tran:
Improving Data Analytic Performance in Health Information System with Big Data Technology. 157-164 - 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 - 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 - 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 - Xinyu Pang, Yong-Feng Ge, Kate N. Wang:
Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System. 197-208 - 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 - 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
- Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang:
Food Recommendation for Mental Health by Using Knowledge Graph Approach. 231-242 - 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 - Markian Jaworsky, Xiaohui Tao, Jianming Yong, Lei Pan, Ji Zhang, Shiva Raj Pokhrel:
Automated Knowledge Graph Construction for Healthcare Domain. 258-265 - Supriya, Tony Jan, Nandini Sidnal, Scott Thompson-Whiteside:
Alcoholic EEG Data Classification Using Weighted Graph-Based Technique. 266-276
Health and Medical Data Classification
- 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 - Tianbo Xu, Le Sun, Sudha Subramani, Yilin Wang:
Intelligent Interpretation and Classification of Multivariate Medical Time Series Based on Convolutional Neural Networks. 291-302 - 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 - 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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