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  • Conference proceedings
  • © 2019

Proceedings of the 2nd International Conference on Healthcare Science and Engineering

  • Gathers selected papers from the 2nd International Conference on Healthcare Science and Engineering (Healthcare 2018)
  • Discusses the latest theories, practices, and applications in healthcare-related fields
  • Presents the latest research findings from leading scholars and experienced engineers

Conference proceedings info: ICHSE 2018.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-ix
  2. Viral Quasispecies Spectrum Reconstruction via Coloring the Vertex in the Weighted Read Conflict Graph

    • Jingli Wu, Dan Huang, Jinyan Wang, Yuanxiu Liao, Jianbo Lu
    Pages 1-15
  3. Robust Feature Selection Method of Radiomics for Grading Glioma

    • Yaping Wu, Bo Liu, Guohua Zhao, Han Yang, Yuanqin Chen, Qiujie Lv et al.
    Pages 17-29
  4. Cardiovascular Disease Risk Prediction Based on Random Forest

    • Runchuan Li, Shengya Shen, Xingjin Zhang, Runzhi Li, Shuhong Wang, Bing Zhou et al.
    Pages 31-43
  5. ECG Beat Classification Based on Deep Bidirectional Long Short-Term Memory Recurrent Neural Network

    • Runchuan Li, Shengya Shen, Xingjin Zhang, Gang Chen, Runzhi Li, Bing Zhou et al.
    Pages 45-56
  6. Deep Convolutional Neural Networks for Electrocardiogram Classification

    • Saidi Guo, Qiujie Lv, Bo Liu, Yusong Lin, Runzhi Li
    Pages 57-69
  7. Transfer Learning-Based Behavioural Task Decoding from Brain Activity

    • Yufei Gao, Bing Zhou, Yanjie Zhou, Lei Shi, Yongcai Tao, Jiacai Zhang
    Pages 71-81
  8. Fine-Tuning ResNet for Breast Cancer Classification from Mammography

    • Yuanqin Chen, Qian Zhang, Yaping Wu, Bo Liu, Meiyun Wang, Yusong Lin
    Pages 83-96
  9. Lung Sound Diagnosis with Deep Convolutional Neural Network and Two-Stage Pipeline Model

    • Yongpeng Liu, Yusong Lin, Xingjing Zhang, Shan Gao, Zongmin Wang, Hongpo Zhang et al.
    Pages 97-114
  10. An Improved Data Anonymization Algorithm for Incomplete Medical Dataset Publishing

    • Wei Liu, Mengli Pei, Congcong Cheng, Wei She, Chase Q. Wu
    Pages 115-128
  11. ECG Classification Based on Long Short-Term Memory Networks

    • Peng Lu, Saidi Guo, Yingying Wang, Lianxin Qi, Xinzhe Han, Yuchen Wang
    Pages 129-140
  12. Injecting Differential Privacy in Rules Extraction of Rough Set

    • Xianxian Li, Chunfeng Luo, Peng Liu, Li-e Wang, Dongran Yu
    Pages 175-187
  13. A Lightweight Neural Network to Detect Arrhythmias

    • Runzhi Li, Xiaoqing Zhang, Ziyang He, Dongge Shi, Hongling Zhao, Wei Liu
    Pages 189-203
  14. Bayesian Differential Privacy for High-Dimensional Medical Data Optimization

    • Xianxian Li, Yuwei Tang, Dongcheng Li, Peng Liu, Li-e Wang
    Pages 205-218
  15. Auxiliary Force EEG (AFEEG) Recognition Oriented to Stroke Patients

    • Peng Lu, Jingjing Zhang, Quanwei Xie, Xinzhe Han, Yingying Wang
    Pages 219-234
  16. A Multi-valued Fuzzy Logic for Qualitative Reasoning in Healthcare

    • Yuanxiu Liao, Jingli Wu, Xudong Luo
    Pages 235-250
  17. A New Approach for Anonymizing Relational and Transaction Data

    • Jinyan Wang, Siming Zhou, Jingli Wu, Chen Liu
    Pages 251-261
  18. Fall Detection Using a Multistage Deep Convolutional Network Architecture

    • Jing Wang, Bing Zhou, Ze Peng, Junyi Sun, Yabing Zhang
    Pages 263-273

Other Volumes

  1. Proceedings of the 2nd International Conference on Healthcare Science and Engineering

About this book

This book presents a compilation of selected papers from the 2nd International Conference on Healthcare Science and Engineering (Healthcare 2018). The work focuses on novel computing, networking, and data analytics techniques for various issues in healthcare. The book is a valuable resource for academic researchers and practitioners working in the field.

Editors and Affiliations

  • Department of Computer Science, New Jersey Institute of Technology, Newark, USA

    Chase Q. Wu

  • Department of Mechanical Engineering , Texas Tech University, Lubbock, USA

    Ming-Chien Chyu

  • Department of Communications, Universitat Politècnica de València, Valencia, Spain

    Jaime Lloret

  • School of Computer Science, Guangxi Normal University, Guilin, China

    Xianxian Li

About the editors

Chase Q. Wu is currently an Associate Professor at the Department of Computer Science and the Director of the Center for Big Data at New Jersey Institute of Technology (NJIT). He joined NJIT in fall 2015 from the University of Memphis, where he was an Associate Professor at the Department of Computer Science. His research interests include big data, high-performance networking, parallel and distributed computing, sensor networks, scientific visualization, and cyber security. Dr. Wu’s work has been supported by various funding agencies, including the U.S. National Science Foundation, Department of Energy, Department of Homeland Security, Office of Naval Research, and Oak Ridge National Laboratory, where he is a member of the research staff and works on a number of high-performance networking projects and big-data computational science projects.

Ming-Chien Chyu is a Professor of Mechanical Engineering and an Adjunct Professor of Medicine at Texas Tech University, USA. He is a Fellow of the American Society of Mechanical Engineers and has received numerous awards for his research achievements and his contributions to the community.  He has conducted research funded by the National Institutes of Health, the National Science Foundation, US Department of Energy, US Department of Agriculture, and other national laboratories. His research activities cover a wide spectrum of specialties from epilepsy to cancer detection, from bone to joint and muscle biomechanics, and from physical exercise to dietary supplements for intervention, as well as experiments, model simulation, and animal and human studies. He has written over 180 technical publications, including more than 130 journal papers on engineering and healthcare.

Jaime Lloret received his B.Sc. and M.Sc. in Physics in 1997, his B.Sc.and M.Sc. in Electronic Engineering in 2003 and his Ph.D. in Telecommunication Engineering (Dr. Ing.) in 2006. He is a Cisco Certified Network Professional Instructor. He has worked as a network designer and administrator in several enterprises, and is currently an Associate Professor at the Polytechnic University of Valencia. His research interests include P2P networks, wireless local area networks, sensor networks and routing protocols. He also conducts research on educational approaches and strategies. He has authored 22 book chapters and has published more than 450 research papers at national and international conferences and in international journals (more than 200 with ISI Thomson JCR).

Xianxian Li is a Professor at the School of Computer Science and Information Technology, Guangxi Normal University. He is also a Distinguished Professor in national, high-level special support programs. He received his Ph.D. degree in Computer Software and Theory from Beihang University in 2002 and worked as a Professor at Beihang University from 2003 to 2010. His current research interests include big data, data privacy,  and the security of distributed systems.

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access