Computing Technique is one of the key technologies that is being currently used to perform medical diagnostics in the Healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT Scan images, EHR data, Test reports, histopathological data, Doctor Patient conversation data, etc. This opens up huge opportunities for the application of computing techniques, to derive data driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, Machine Learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of Genomic data using various computing techniques are other emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which Machine Learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression. Our book on “Health Informatics: A Computational Perspective in Healthcare” aims at attracting research works, to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets.

Submission Guidelines
Submission link https://easychair.org/conferences/?conf=healthcare2020
Abstract registration deadline: March 31, 2020
Submission deadline: April 20, 2020

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

A chapter cannot exceeds plagiarism of 15% excluding references.
A chapter cannot be submitted multiple places.
The chapter must be formatted as per the guideline of LNCS, link: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Review process is single blind. Therefore, author names and affiliations must be included. Do not write professional title, like Dr., Prof., etc.

List of Topics

Introduction to Health informatics
Machine Learning in Healthcare
Data Mining approaches in Healthcare
Smart Healthcare
Wearable technology
Precision healthcare
Healthcare: Devices, Systems and Innovative Technologies
Medical Image Processing
Optimization in healthcare
Clinical decision support systems
Electronic medical data
E-health Applications
Big Data Analytics for Healthcare
Internet of Things in Healthcare
Cloud Computing in Healthcare
Fog Computing in Healthcare
Impact of Social Media in Healthcare
Security in Healthcare
Issues, Challenges and Future Directions
Case studies : Cancer, Diabetes, Flu etc.

Editors

Dr. Ripon Patgiri, National Institute of Technology Silchar
Dr. Anupam Biswas, National Institute of Technology Silchar
Dr. Pinki Roy, National Institute of Technology Silchar


Publication

The book, Healtcare 2020, will be published in “Studies in Computational Intelligence“, Springer Nature which is indexed in Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.

Contact

All questions about submissions should be emailed to patgiri@ieee.org