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ORCID13rd HIS 2024: Hong Kong, China
- Siuly Siuly
, Chunxiao Xing, Xiaofan Li, Rui Zhou:
Health Information Science - 13th International Conference, HIS 2024, Hong Kong, China, December 8-10, 2024, Proceedings. Lecture Notes in Computer Science 15336, Springer 2025, ISBN 978-981-96-5596-0 - Raza Nowrozy, Khandakar Ahmed, Hua Wang:
Artificial Intelligence in Enhancing Electronic Health Record Systems: A Comprehensive Survey. 1-16 - Chao Xu, Ye Liang, Kaijun Wen, Zihang Wang, Yining Zhou, Yong Zhang:
Complex Query Optimization in Sepsis Data Using Learned Index with Distribution Transformation. 17-26 - Zihang Wang, Ye Liang, Wenwei Sun, Chao Xu, Yining Zhou, Yong Zhang:
Initial-LLM: A Large Language Model-Guided Metaheuristic Framework for Enhanced Feature Selection in Clinical Decision Support Systems. 27-35 - Yi Luo, Ming Sheng, Xianbo Liu, Kaiyuan Wang, Yong Zhang, Huiying Zhao:
LTGAN: Multi-label Time-Series GAN with Constraints for Electronic Health Records Generation. 36-47 - Jiahao Li, Wenkui Zheng, Kun Chao, Jiaxu Guo, Tianyi Liu, Kaijun Wen, Yong Zhang:
Multi-condition Join Query Optimization for Disease-Specific Data Exploration Based on Data Lake. 48-57 - Nan Hai, Wenkui Zheng, Xianglong Qin, Jiaxu Guo, Tianyi Liu, Yong Zhang:
Multi-modal Medical Data Management Platform Based on Data Lake. 58-67 - Tien Ngo, Jiao Yin, Yong-Feng Ge, Changjun Zhou, Jinli Cao:
Comparative Study of Machine Learning Algorithms for IoT Cyber Threat Detection in Healthcare Information Systems. 68-77 - Yanhui Guo, Liang Kong, Guo-Qing Du, Chung-wei Lee, Siuly Siuly, Heng-Da Cheng:
Myocardial Band Transformer Network for Detecting Myocardial Ischemia in 2D Echocardiography. 78-92 - Zikai Xiao, Yifu Zeng, Minghao Mo, Xiang Lv, Yanchun Zhang:
Deep Learning-Enabled Electronic Health Records for Accurate Diagnosis of Cardiovascular Diseases: A Retrospective, Prospective, Diagnostic Study. 93-104 - Qingya Li, Ye Yuan, Lu Liu, Ziming Zhang, Wenjun Tan:
V-GnNet: Voxel and Graph Node Based Network for Continuously Consistent Artery and Vein Classification in Non-contrast CT Images. 105-117 - Markian Jaworsky, Xiaohui Tao, Thanveer Shaik, J. Yong, Lei Pan, Ji Zhang, Shiva Raj Pokhrel:
Improving Predictive Accuracy of Multilabel Classification for Cancer Subtypes in Imbalanced Datasets. 118-127 - Xiang Lv, Yifu Zeng, Minghao Mo, Zikai Xiao, Yanchun Zhang:
TG.Net : A Deep Learning Model Combining Attention Mechanism for Effective Prediction of Multi Stages of Chronic Kidney Disease. 128-139 - Zelia Soo, Kairui Guo, Mengjia Wu, Coco Huang, Hua Lin, Mark Grosser, Yi Zhang, Jie Lu:
A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data. 140-151 - Lene Nortje, Jacomine Grobler, Anel van Zyl, Mariana Kruger:
Using Machine Learning to Predict the Risk Severity of Late Effects of Childhood Rhabdomyosarcoma Survivors. 152-163 - Faisal Haque, Sabikun Nahar, Umme Marzia Haque, Zakir Hossain, Md. Enamul Kabir:
Predicting C-Section Outcomes Among Bangladeshi Women: A Comparative Study of Machine Learning Techniques. 164-173 - Na Zhu, Wenjun Luo, Zhisheng Huang:
Exploring Relations Between Depression and Cognitive Impairment. 174-185 - Jingjing Huang, Yijing Wu, Jiali Shi, Zhisheng Huang:
Investigating Roles of Immune Functions in Depression by Using Knowledge Graph Approach. 186-195 - Afrah S. Jabbar, Wessam Al-salman:
EEG Sleep Classification Based on Fourier-Bessel Technique Coupled with LS-SVM. 196-208 - Taslima Khanam, Siuly Siuly, Kate N. Wang, Hua Wang:
An AI Driven Framework for EEG Based-BCI Technology. 209-220 - Wejdan Shahin, Lina Odat, Alex Park, Elton H. Lobo, Kate Wang:
Perceptions of Academic Performance and Mental Health Among Pharmacy Students Across Different Learning Modalities. 221-233 - Supriya, Nandini Sidnal, Tony Jan, Scott Thompson-Whiteside:
Epilepsy Detection from Weighted EEG Graph (WEG) Using Novel Feature- Normalized Weighted Forgotten Topological Index (NWFT-Index). 234-244 - Zhisheng Huang, Yijing Wu, Zhitong Zhou, Dianhong Shi, Hui Zhao:
Extended Knowledge Graphs of Depression. 245-257 - Ashik Mostafa Alvi, Nishat Tasnim Manami, Siuly Siuly, Lili Sun:
IBDR-Net: A Computerized Framework for Irregular Brain Signal Data Recognition. 258-269 - Shahab Abdulla, Amar S. Majeed, Ali Basim Al-Khafaji, Wesaam Alsalman, Mohammed Diykh, Aqeel Sahi, Hussein Alabdally, Khaleel Ali Khudhur:
Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model. 270-280 - Suha Zadain Hmoud, Mohammed Diykh, Shahab Abdulla, Hussein Alabdally, Aqeel Sahi:
Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models. 281-291 - Praveen Sadasivan, Ravinder Singh, Reuben Praveen:
The Impact of COVID-19 and the Ukrainian War on the Share Market Index for the Australian Financial Sector. 292-302 - Puti Xu, Jiao Yin, Jinli Cao, Yanchun Zhang:
The Impact of COVID-19 on Global GMAT Test-Taking Patterns: A Statistical Analysis. 303-312 - Shengze Shao, Shaofu Lin, Zhisheng Huang:
A Medical Consultation System for Geriatric Disease Based on Multi-agent Architecture and Knowledge Graph. 313-325 - Atousa Ghahramani, Maria Prokofieva, Maximilian de Courten:
Impact of Social Media on Heart Health-Related Behaviors in Health Promotion Interventions: Sentiment Analysis of Tweets Linked to the American Heart Month Campaigns. 326-338
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