Skip to main content

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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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

Annual Journal Metrics

  • 2022 Citation Impact
    3.5 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.384 - SNIP (Source Normalized Impact per Paper)
    0.940 - SJR (SCImago Journal Rank)

    2023 Speed
    37 days submission to first editorial decision for all manuscripts (Median)
    213 days submission to accept (Median)

    2023 Usage 
    2,588,758 downloads
    2,443 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Sign up for article alerts and news from this journal