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Volume 21 Supplement 2

Health Big Data and Artificial Intelligence

Research

Guangzhou, China29 October - 1 November 2020

Conference website

Edited by Tianyong Hao, Yi Zhou and Yang Gong.

  1. Semantic segmentation of white matter hyperintensities related to focal cerebral ischemia (FCI) and lacunar infarction (LACI) is of significant importance for the automatic screening of tiny cerebral lesions a...

    Authors: Yue Liu, Xiang Li, Tianyang Li, Bin Li, Zhensong Wang, Jie Gan and Benzheng Wei

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):89

    Content type: Research

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  2. The misestimation of surgical risk is a serious threat to the lives of patients when implementing surgical risk calculator. Improving the accuracy of postoperative risk prediction has received much attention a...

    Authors: Ruoyu Liu, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Paul B. S. Lai and Ci-ren Guo

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):88

    Content type: Research

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  3. Computed tomography (CT) reports record a large volume of valuable information about patients’ conditions and the interpretations of radiology images from radiologists, which can be used for clinical decision-...

    Authors: Huanyao Zhang, Danqing Hu, Huilong Duan, Shaolei Li, Nan Wu and Xudong Lu

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):214

    Content type: Research

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  4. As proven to reflect the work state of heart and physiological situation objectively, electrocardiogram (ECG) is widely used in the assessment of human health, especially the diagnosis of heart disease. The ac...

    Authors: Guixiang Li, Zhongwei Tan, Weikang Xu, Fei Xu, Lei Wang, Jun Chen and Kai Wu

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):99

    Content type: Research

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  5. Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods i...

    Authors: Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang and Tianyong Hao

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):129

    Content type: Research

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  6. Formula is an important means of traditional Chinese medicine (TCM) to treat diseases and has great research significance. There are many formula databases, but accessing rich information efficiently is diffic...

    Authors: Yidi Cui, Bo Gao, Lihong Liu, Jing Liu and Yan Zhu

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):56

    Content type: Software

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  7. Text Matching (TM) is a fundamental task of natural language processing widely used in many application systems such as information retrieval, automatic question answering, machine translation, dialogue system...

    Authors: Xiaoming Yu, Yedan Shen, Yuan Ni, Xiaowei Huang, Xiaolong Wang, Qingcai Chen and Buzhou Tang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):94

    Content type: Research

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  8. Regional citrate anticoagulation (RCA) is an important local anticoagulation method during bedside continuous renal replacement therapy. To improve patient safety and achieve computer assisted dose monitoring ...

    Authors: Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Liu, Jie He, Huizhen Jiang, Yun Long and Weiguo Zhu

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):126

    Content type: Research

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  9. Accurately segment the tumor region of MRI images is important for brain tumor diagnosis and radiotherapy planning. At present, manual segmentation is wildly adopted in clinical and there is a strong need for ...

    Authors: Daobin Huang, Minghui Wang, Ling Zhang, Haichun Li, Minquan Ye and Ao Li

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):63

    Content type: Research

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  10. Clinical notes record the health status, clinical manifestations and other detailed information of each patient. The International Classification of Diseases (ICD) codes are important labels for electronic hea...

    Authors: Weidong Bao, Hongfei Lin, Yijia Zhang, Jian Wang and Shaowu Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):55

    Content type: Research

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  11. Epilepsy is one of the diseases of the nervous system, which has a large population in the world. Traditional diagnosis methods mostly depended on the professional neurologists’ reading of the electroencephalo...

    Authors: Mengnan Ma, Yinlin Cheng, Xiaoyan Wei, Ziyi Chen and Yi Zhou

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):100

    Content type: Research

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  12. The influenza surveillance has been received much attention in public health area. For the cases with excessive zeroes, the zero-inflated Poisson process is widely used. However, the traditional control charts...

    Authors: Yueying Tan, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Ka-chun Chong, Paul K. S. Chan and Jing Tang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):96

    Content type: Research

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  13. Analgesia and sedation therapy are commonly used for critically ill patients, especially mechanically ventilated patients. From the initial nonsedation programs to deep sedation and then to on-demand sedation,...

    Authors: Longxiang Su, Chun Liu, Fengxiang Chang, Bo Tang, Lin Han, Huizhen Jiang, Weiguo Zhu, Na Hong, Xiang Zhou and Yun Long

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):79

    Content type: Research

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  14. Epilepsy was defined as an abnormal brain network model disease in the latest definition. From a microscopic perspective, it is also particularly important to observe the Mutual Information (MI) of the whole b...

    Authors: Mengnan Ma, Xiaoyan Wei, Yinlin Cheng, Ziyi Chen and Yi Zhou

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):80

    Content type: Research

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  15. A new learning-based patient similarity measurement was proposed to measure patients’ similarity for heterogeneous electronic medical records (EMRs) data.

    Authors: Ni Wang, Yanqun Huang, Honglei Liu, Zhiqiang Zhang, Lan Wei, Xiaolu Fei and Hui Chen

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):58

    Content type: Research

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  16. Diabetes mellitus is a major chronic disease that results in readmissions due to poor disease control. Here we established and compared machine learning (ML)-based readmission prediction methods to predict rea...

    Authors: Yujuan Shang, Kui Jiang, Lei Wang, Zheqing Zhang, Siwei Zhou, Yun Liu, Jiancheng Dong and Huiqun Wu

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):57

    Content type: Research

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  17. Although the expenses of liver cirrhosis are covered by a critical illness fund under the current health insurance program in China, the medical costs associated with hepatitis B virus (HBV) related diseases i...

    Authors: Shuo Yang, Ge Chen, Yueping Li, Guanhai Li, Yingfang Liang, Feng Zhou, Shudong Zhou, Yi Yang, Weidong Jia, Yanhui Gao and Yue Chen

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):71

    Content type: Research

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  18. Transformer is an attention-based architecture proven the state-of-the-art model in natural language processing (NLP). To reduce the difficulty of beginning to use transformer-based models in medical language und...

    Authors: Feihong Yang, Xuwen Wang, Hetong Ma and Jiao Li

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 2):90

    Content type: Software

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