Book Title: Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications
Publisher: CRC Press, Taylor and Francis Group

Important Dates:
Chapter Submission Deadline    : 30th November 2020
Acceptance Notification        : 31st January 2021
Camera Ready Submission        : 28th February 2021

Book Information
* Taylor and Francis Catalogue # 426744, ISBN: 978-0-367-69661-0.
* The book will be submitted for indexing in SCOPUS & Web of Science.
* No publication fees.
* All submitted chapters will be peer reviewed.

The topics of interest in different domains of healthcare includes, but not limited to:

Big Data Analytics in Medical Imaging
* Applications of big data in medical imaging
* Biophotonic imaging, Histopathological imaging, Neuro imaging
* Computer-aided diagnosis in medical imaging
* Image-guided interventions and surgery
* Medical image reconstruction; Medical image segmentation
* Multi-modality fusion for diagnosis and image guided interventions

Knowledge Mining in Healthcare
* Big data management in healthcare
* Big data models, theories, algorithms, approaches to process 
healthcare data
* Clinical decision support systems
* Computational intelligence for healthcare big data
* Decision support and knowledge representation in healthcare

Genomics and Proteomics
* Analysis of genomics and proteomics data using artificial intelligence
* Computational genomics
* Genetic engineering
* Genomics, proteomics and bioinformatics
* Molecular and cellular proteomics
* Techniques for optimized RNA and DNA sequencing

Robot Assisted Medical Intervention
*AI for surgical robots
*Minimally invasive surgical instrumentation
*Advances in robotic surgical techniques
*Image-guided robotic interventions
*Surgical and interventional simulation systems

AI for Drug Discovery
* Concepts, methods and applications of AI for development of drugs and vaccine
* Machine learning, deep learning, generative models in early phase drug discovery
* Molecular evolution
* Prediction of drug-target interaction

IoT and Big Data for Smart Healthcare
* Challenges and potential solutions in healthcare using IoT and big data analytics
* IoT-based solutions for health monitoring
* Mobile-based healthcare solutions
* Wearables for patient monitoring

Chapter Preparation & Submission Guidelines
* Chapter template is available at https://bit.ly/31JSVuK  
* Chapter should be between 15-30 pages.
* An abstract of 150 to 200 words should be submitted in a separate document. Note that abstract will not be included in the print version of the book. Abstract guidelines are available at https://bit.ly/31JSVuK
* Include figures/tables in the chapter only if necessary. Please do not include them just to complement the text.
* Please provide Alt Text for each image in your chapter. Author guide to write Alt Text is available at https://bit.ly/31JSVuK
* All submissions should be sent by email to:
    profmayurimehta@gmail.com           kpassi@laurentian.ca
    indranath.cs.du@gmail.com             rgpce21@gmail.com

Editors:
Dr. Mayuri Mehta, Sarvajanik College of Engineering & Technology (Surat), India
Dr. Kalpdrum Passi, Laurentian University (Ontario, Canada
Dr. Indranath Chatterjee, Tongmyong University (Busan), South Korea  
Dr. Rajan Patel, Gandhinagar Institute of Technology (Gandhinagar), India