Call for book chapter- Elsevier

CALL FOR BOOK CHAPTERS

elsevier-logo

Book Title: Deep Learning Techniques for Biomedical and Health Informatics

Scope of the book

Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. Health care informatics and analytics is a new era that brings tremendous opportunities and challenges due to easily available plenty of biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing of abundant biomedical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Earlier, it was common requirement to have a domain expert to develop a model for biomedical or healthcare, however, recent advancements in representation learning algorithms (deep learning techniques) allow to automatically learn the pattern and representation of the given data for the development of such model. Deep learning methods with multiple level of representation in which at each level the system learn raw to higher abstract level representation. Deep learning based algorithms has demonstrated great performance to a variety of areas including computer vision, image processing, natural language processing, speech recognition, video analysis, biomedical and health informatics etc. Deep learning approaches such as neural networks, deep belief network, convolutional neural network, deep auto-encoder, and deep generative networks have emerged as powerful computational models. These have shown significant success in dealing with massive data for large number of applications due to their capability to extract complex hidden features and learn efficient representation in unsupervised setting.

Topics of Interest:

This book solicits contributions from the field of deep learning for biomedical and health informatics. Each book chapter should cover the solutions with the state-of-the-art and novel approaches to solve and tackle the problems and challenges in the biomedical and healthcare domain using deep learning technique.

Topics to be discussed in this edited book include but not are limited to:

  1. Introduction to Deep Learning and Health Informatics
  2. Machine learning and deep learning for Biomedical and Health Informatics
  3. Deep learning for bioinformatics and drug discovery
  4. Deep learning for Clinical Decision Support Systems
  5. Deep learning for efficient Patients disease diagnosis and monitoring systems
  6.  Deep learning based methods for the Prediction of disease
  7. Deep learning /Convolutional Neural Networks for Lung Pattern Analysis
  8. Recommender systems for Biomedical and Health informatics
  9. Deep Learning with Electronic Health Records (EHR)
  10. Health Data Structures and Management
  11. Deep Patient Similarity Learning with HER
  12. Natural Language Processing, Electronic Health Records, and Clinical Research
  13. Efficient  storage and sharing of biomedical data for healthcare informatics
  14. Healthcare Informatics to analyze patient health records, for enabling better clinical decision making and improved healthcare outcomes
  15. Machine Learning in Biomedical Signal and Medical image processing
  16. Deep Learning for Medical Image Recognition
  17. Unsupervised Deep Feature Representations Learning for Bio-medical Image analysis
  18. Deep learning for optimizing medical big data
  19. Deep learning for Brain Image Analysis
  20. Deep Learning for Automated Brain Tumor Segmentation in MRI Images
  21. Deep Learning and the Future of Biomedical Image Analysis

Important Dates:

Abstract Submission (abstract with TOC):            January 15, 2019
Preliminary acceptance/rejection notification:    January 31, 2019
Full chapter Submission:                                          April 30, 2019
First review notification:                                           June 15, 2019
Revised paper submission:                                      July 15, 2019
Acceptance/Rejection notification:                         August 30, 2019
Camera Ready submission:                                    October 15, 2019

Editors:

  1. Dr.Basant Agarwal, Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology Mangt. & Gramothan, Jaipur, India Email: basant@skit.ac.in
  2. Dr. Valentina E. Balas, Aurel Vlaicu University of Arad, Romania. Email: balas@drbalas.ro
  3. Professor Lakhmi C. Jain, University of Canberra, Australia and Bournemouth University, UK, Email: Jainlc2002@yahoo.co.uk
  4. Dr. Ramesh C. Poonia, Amity Institute of Information Technology, Amity University Rajasthan, Jaipur, India (MGE), Email: rchandra@jpr.amity.edu
  5. Dr. Manisha Sharma, Visiting Faculty, CCT, University of Rajasthan, India. Email: manishasharma8@gmail.com

 

 Please send your one-page write up (with abstract of 300- 500 words and 6 keywords) of your Chapter along with tentative table of contents (TOC) through EasyChair portal at this link {https://easychair.org/conferences/?conf=dlbhi2019}. Upon acceptance of the proposal, further instructions for submission guidelines according to the Springer will be communicated. Please feel free to contact any editor if you have any query.

“There are NO processing/publication charges for this Elsevier book”