BMC Medical Informatics & Decision Making - Supplement, Volume 21S

Volume 21-S, Number 1, April 2021

Proceedings of the 2019 International Conference on Intelligent Computing (ICIC 2019): medical informatics and decision making

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  Ru Nie, Zhengwei Li, Zhu-Hong You, Wenzheng Bao, Jiashu Li:
  Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering. 254
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  Jie Su, Yi Cao, Yuehui Chen, Yahui Liu, Jinming Song:
  Privacy protection of medical data in social network. 286
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  Adisu Tafari Shama, Hirbo Shore Roba, Admas Abera Abaerei, Teferi Gebru Gebremeskel, Negga Baraki:
  Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia. 287
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  Yu-Tai Lo, Jah Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li:
  Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms. 288
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  Hui Wang, Ilana Belitskaya-Levy, Fan Wu, Jennifer S. Lee, Mei-Chiung Shih, Philip S. Tsao, Ying Lu:
  A statistical quality assessment method for longitudinal observations in electronic health record data with an application to the VA million veteran program. 289
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  Giacomo Donato Cascarano, Francesco Saverio Debitonto, Ruggero Lemma, Antonio Brunetti, Domenico Buongiorno, Irio De Feudis, Andrea Guerriero, Umberto Venere, Silvia Matino, Maria Teresa Rocchetti, Michele Rossini, Francesco Pesce, Loreto Gesualdo, Vitoantonio Bevilacqua:
  A neural network for glomerulus classification based on histological images of kidney biopsy. 300

Volume 21-S, Number 2, July 2021

Health Big Data and Artificial Intelligence

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  Ting Shu, Fan Xu, Hongxia Li, Wei Zhao:
  Investigation of patients' access to EHR data via smart apps in Chinese Hospitals. 53
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  Weidong Bao, Hongfei Lin, Yi-Jia Zhang, Jian Wang, Shaowu Zhang:
  Medical code prediction via capsule networks and ICD knowledge. 55
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  Yidi Cui, Bo Gao, Lihong Liu, Jing Liu, Yan Zhu:
  AMFormulaS: an intelligent retrieval system for traditional Chinese medicine formulas. 56
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  Yujuan Shang, Kui Jiang, Lei Wang, Zheqing Zhang, Siwei Zhou, Yun Liu, Jiancheng Dong, Huiqun Wu:
  The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers. 57
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  Ni Wang, Yanqun Huang, Honglei Liu, Zhiqiang Zhang, Lan Wei, Xiaolu Fei, Hui Chen:
  Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records. 58
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  Daobin Huang, Minghui Wang, Ling Zhang, Haichun Li, Minquan Ye, Ao Li:
  Learning rich features with hybrid loss for brain tumor segmentation. 63
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  Shuo Yang, Ge Chen, Yueping Li, Guanhai Li, Yingfang Liang, Feng Zhou, Shudong Zhou, Yi Yang, Weidong Jia, Yanhui Gao, Yue Chen:
  The trend of direct medical costs and associated factors in patients with chronic hepatitis B in Guangzhou, China: an eight-year retrospective cohort study. 71
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  Longxiang Su, Chun Liu, Fengxiang Chang, Bo Tang, Lin Han, Huizhen Jiang, Weiguo Zhu, Na Hong, Xiang Zhou, Yun Long:
  Selection strategy for sedation depth in critically ill patients on mechanical ventilation. 79
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  Mengnan Ma, Xiaoyan Wei, Yinlin Cheng, Ziyi Chen, Yi Zhou:
  Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network. 80
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  Yinlin Cheng, Mengnan Ma, Xingyu Li, Yi Zhou:
  Multi-label classification of fundus images based on graph convolutional network. 82
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  Ruoyu Liu, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Paul B. S. Lai, Ci-ren Guo:
  A non-linear ensemble model-based surgical risk calculator for mixed data from multiple surgical fields. 88
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  Yue Liu, Xiang Li, Tianyang Li, Bin Li, Zhensong Wang, Jie Gan, Benzheng Wei:
  A deep semantic segmentation correction network for multi-model tiny lesion areas detection. 89
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  Feihong Yang, Xuwen Wang, Hetong Ma, Jiao Li:
  Transformers-sklearn: a toolkit for medical language understanding with transformer-based models. 90
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  Xiaoming Yu, Yedan Shen, Yuan Ni, Xiaowei Huang, Xiaolong Wang, Qingcai Chen, Buzhou Tang:
  CapsTM: capsule network for Chinese medical text matching. 94
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  Yueying Tan, Xin Lai, Jiayin Wang, Xuanping Zhang, Xiaoyan Zhu, Ka Chun Chong, Paul K. S. Chan, Jing Tang:
  Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data. 96
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  Guixiang Li, Zhongwei Tan, Weikang Xu, Fei Xu, Lei Wang, Jun Chen, Kai Wu:
  A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification. 99
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  Mengnan Ma, Yinlin Cheng, Xiaoyan Wei, Ziyi Chen, Yi Zhou:
  Research on epileptic EEG recognition based on improved residual networks of 1-D CNN and indRNN. 100
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  Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Liu, Jie He, Huizhen Jiang, Yun Long, Weiguo Zhu:
  Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods. 126
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  Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang, Tianyong Hao:
  Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning. 129
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  Xin Huang, Hui Chen, Jing-Dong Yan:
  Study on structured method of Chinese MRI report of nasopharyngeal carcinoma. 203
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  Huanyao Zhang, Danqing Hu, Huilong Duan, Shaolei Li, Nan Wu, Xudong Lu:
  A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging. 214

Volume 21-S, Number 3, February 2021

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  Thanh Nguyen, Tongbin Zhang, Geoffrey Fox, Sisi Zeng, Ni Cao, Chuandi Pan, Jake Y. Chen:
  Linking clinotypes to phenotypes and genotypes from laboratory test results in comprehensive physical exams. 51

Volume 21-S, Number 4, May 2021

15th and 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB 2018-19)

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  Pierre Michel, Nicolas Ngo, Jean-François Pons, Stéphane Delliaux, Roch Giorgi:
  A filter approach for feature selection in classification: application to automatic atrial fibrillation detection in electrocardiogram recordings. 130

Volume 21-S, Number 5, April 2021

Informatics and machine learning methods for health applications (part 2)

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  Menghan Ding, Yuan Luo:
  Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements. 95

Volume 21-S, Number 6, November 2021

Spotlight on ICD-11: New Features and New Opportunities

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  James E. Harrison, Stefanie Weber, Robert Jakob, Christopher G. Chute:
  ICD-11: an international classification of diseases for the twenty-first century. 206
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  Saskia E. Drösler, Stefanie Weber, Christopher G. Chute:
  ICD-11 extension codes support detailed clinical abstraction and comprehensive classification. 278
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  Danielle A. Southern, James E. Harrison, Patrick S. Romano, Marie-Annick Le Pogam, Harold Alan Pincus, William A. Ghali:
  The three-part model for coding causes and mechanisms of healthcare-related adverse events. 376
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  Cathy A. Eastwood, Shahreen Khair, Danielle A. Southern:
  Decision algorithm for when to use the ICD-11 3-part model for healthcare harms. 380
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  Bill Reddy, Arthur Yin Fan:
  Incorporation of complementary and traditional medicine in ICD-11. 381
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  Vijaya Sundararajan, Marie-Annick Le Pogam, Danielle A. Southern, Harold Alan Pincus, William A. Ghali:
  Coding mechanisms for diagnosis timing in the International Classification of Diseases, Version 11. 382
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  Alan J. Forster, Christopher G. Chute, Harold Alan Pincus, William A. Ghali:
  ICD-11: A catalyst for advancing patient safety surveillance globally. 383
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  Christopher G. Chute, Can Çelik:
  Overview of ICD-11 architecture and structure. 378
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  Kristy Mabon, Olafr Steinum, Christopher G. Chute:
  Postcoordination of codes in ICD-11. 379
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  Jean-Marie Januel, Danielle A. Southern, William A. Ghali:
  Interpreting and coding causal relationships for quality and safety using ICD-11. 385

Volume 21-S, Number 7, November 2021

Selected articles from the Fifth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2020)

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  Fengbo Zheng, Rashmie Abeysinghe, Licong Cui:
  Identification of missing concepts in biomedical terminologies using sequence-based formal concept analysis. 234
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  Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn:
  Identification of asthma control factor in clinical notes using a hybrid deep learning model. 272
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  Muhammad Amith, Chidinma Onye, Tracey Ledoux, Grace Xiong, Cui Tao:
  The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications. 275
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  Tao Li, Ying Xiong, Xiaolong Wang, Qingcai Chen, Buzhou Tang:
  Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge. 368

Volume 21-S, Number 9, November 2021

Health Natural Language Processing and Applications

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  Yani Chen, Shan Nan, Qi Tian, Hailing Cai, Huilong Duan, Xudong Lu:
  Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble. 247
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  Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen:
  Drug knowledge discovery via multi-task learning and pre-trained models. 251
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  Shuyuan Hu, Fei Teng, Lufei Huang, Jun Yan, Haibo Zhang:
  An explainable CNN approach for medical codes prediction from clinical text. 256
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  Zhichang Zhang, Dan Liu, Minyu Zhang, Xiaohui Qin:
  Combining data augmentation and domain information with TENER model for Clinical Event Detection. 261
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  Huanhuan Wu, Yichen Zhong, Yingjie Tian, Shan Jiang, Lingyun Luo:
  Automatic diagnosis of COVID-19 infection based on ontology reasoning. 271
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  Hongkui Cao, Liang Zhang, Bo Jin, Shicheng Cheng, Xiaopeng Wei, Chao Che:
  Enriching limited information on rare diseases from heterogeneous networks for drug repositioning. 304
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  Na Hong, Fengxiang Chang, Zhengjie Ou, Yishang Wang, Yating Yang, Qiang Guo, Jianhui Ma, Dan Zhao:
  Construction of the cervical cancer common terminology for promoting semantic interoperability and utilization of Chinese clinical data. 309
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  Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu:
  Enhancing unsupervised medical entity linking with multi-instance learning. 317
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  Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu, Jun Zhao:
  Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. 335
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  Wenyan Tan, Heng Weng, Haicheng Lin, Aihua Ou, Zehui He, Fujun Jia:
  Disease risk analysis for schizophrenia patients by an automatic AHP framework. 375
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  Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei, Yue Wang:
  When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification. 377
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  Xiang Zhou, Xudong Ma, Sifa Gao, Yingying Ma, Jianwei Gao, Huizhen Jiang, Weiguo Zhu, Na Hong, Yun Long, Longxiang Su:
  Measuring the worldwide spread of COVID-19 using a comprehensive modeling method. 384

Volume 21-S, Number 10, November 2021

Proceedings of the International Conference on Biomedical Engineering Innovation (ICBEI) 2019-2020: medical informatics and decision making

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  Cheng-Wen Lee, Hsiu-Mang Chuang:
  Design of a seniors and Alzheimer's disease caring service platform. 273

Volume 21-S, Number 11, November 2022

Selected papers from the 4th International Workshop on Computational Methods for the Immune System Function (CMISF 2020): medical informatics and decision making

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  Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang:
  Building a knowledge base for colorectal cancer patient care using formal concept analysis. 369