DBDML_2020: Demystifying Big Data, Machine Learning and Deep Learning for Healthcare Analytics |
Submission link | https://easychair.org/conferences/?conf=dbdml-2020 |
Abstract registration deadline | February 29, 2020 |
Submission deadline | March 15, 2020 |
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CALL FOR BOOK CHAPTERS (Abstract Submission Date – 20th January 2020) |
Demystifying Big Data, Machine Learning and Deep Learning for Healthcare Analytics
Editor(s)
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Dr Anand Nayyar Graduate School, Duy Tan University, Da Nang, Vietnam. Mob. No.: +84-0933622812 Email ID: anandnayyar@duytan.edu.vn
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Dr. Pradeep N Associate Professor and P G Head, Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India. Mob. No.: +91-9886086840 Email ID: nmnpradeep@gmail.com |
Dr. Sandeep Kautish Dean-Academic Affairs LBEF Campus (In Academic Collaboration with Asia Pacific University of Technology & Innovation, Malaysia) Kathmandu, Nepal. Mob. No. +91-977572601 Email ID: dr.skautish@gmail.com |
Prof. Sheng Lung Peng Professor, National Dong Hwa University, Taiwan Contact No.: +88958321100 Email ID: slpeng@ndhu.edu.tw |
Dear Authors,
We are in the process of editing a professional book titled “Demystifying Big Data, Machine Learning and Deep Learning for Healthcare Analytics” to be published by Elsevier. We would like to take this opportunity to cordially invite you to contribute quality chapters for consideration within the scope of the book as mentioned. In order to release the book in time, we request you to submit abstracts on or before January 20 2020. Inquiries on submission can be forwarded to editors’ email.
Introduction: This edited book is entirely based on the current research trends on Big Data, Deep Learning and Machine Learning applications pertaining to healthcare data. We know that healthcare data is highly critical for patient’s care and crucial for physicians. Healthcare data is generated in abundant manner with passage of time. To manage this data, the traditional techniques are not adequate, so new and advanced techniques are required to perform the tasks in efficient and secured manner. The main topics for the chapter for this book are:
Part A: Big Data in Healthcare Analytics
Chapter 1: Big Data in Healthcare Systems- Introduction, V’s, Challenges, Applications
Chapter 2: Foundations of Healthcare Informatics
Chapter 3: Advanced Decision-Making using Healthcare Data Analytics
Chapter 4 Emergence of Decision Support Systems in Healthcare
Chapter 5: Big Data based frameworks for Healthcare Systems
Chapter 6: Predictive Analysis and Modeling in Healthcare Systems
Chapter 7: Security and Privacy in Healthcare Systems
Chapter 8: Role of Social Media in Healthcare Analytics
Chapter 9: Big Data based Case Studies for Healthcare Analytics
Smart Ambulance, Semantic Framework in Healthcare, Disease Prediction, Electronic Health Records, IoT and Big Data Integration in Healthcare for smart health monitoring, Clinical Decision Support Systems, Precision Medicine, Smart Hospitals
Part B: Machine Learning, Deep Learning for Healthcare
Chapter 1: Machine Learning and Deep Learning Paradigms in Healthcare Systems and Informatics
Chapter 2: Machine Learning and Deep Learning frameworks for Healthcare Systems
Chapter 3: Machine Learning and Deep Learning based Clinical Diagnostic Systems
Chapter 4: Machine Learning and Deep Learning Algorithms for Healthcare Systems
Chapter 5: ML and DL based case Studies
Submission Procedure: Authors are invited to submit on or before January 15, 2020, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified about the status of their proposals by January 25, 2020. Full chapter is expected to be submitted by March 15, 2020 and the authors will be notified by April 10, 2020 about the status of their Chapters. Final chapter is to be submitted within May 10 2020.
Important Information:
- Authors can submit their Abstract at dr.skautish@gmail.com or nmnpradeep@gmail.com
- Authors should take care of plagiarism and permitted similarity percentage is 10%
- All the accepted chapter would be indexed in all major indexes such as: Thomson/ISI, Scopus etc.
- There are no submission or acceptance fees for manuscripts submitted to this book publication.
- Chapter length should be in the range of 25 to 30 pages
- All manuscripts are accepted based on a double-blind peer review editorial process.
- All proposals should be submitted through the Easy Chair online submission manager. The weblink is https://easychair.org/conferences/?conf=dbdml-2020
- References must be in APA style, otherwise chapters will be returned to the authors for correction. Follow this Link: https://authors.elsevier.com/pdfs/jai_guide.pdf
- Submission of Manuscript, Review process and Final Submission will happen as per deadlines. NO EXTENSION will be provided in any means.
Important Dates:
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- Abstract Submission/Chapter Selection: 20 January, 2020
- Abstract Acceptance / Chapter ToC Selection: 25 January, 2020
- Full Chapter Submission: March 15, 2020
- First Review: April 10, 2020
- Chapter Submission with Updates: April 22, 2020
- Second Review: April 30, 2020
- Final Acceptance: May 5, 2020
- Final Chapter Due: May 10, 2020
For any Queries, Questions, Follow Ups, all queries should be addressed to:
Dr. Sandeep Kautish at dr.skautish@gmail.com, Whatsapp @ +91-9779572601
Dr. Pradeep N at nmnpradeep@gmail.com, Whatsapp @ +91-9886086840
Dr. Sheng Lung Peng slpeng@ndhu.edu.tw