SUDEM2022: Supervised and Unsupervised Data Engineering for Medical Data |
Website | https://sites.google.com/view/wiley-book-chapters/important-dates |
Submission link | https://easychair.org/conferences/?conf=sudemd2021 |
Abstract registration deadline | March 31, 2022 |
Submission deadline | July 31, 2022 |
As technology evolves, the role of big data and data science is not unheard of. It is used in various domains like healthcare, science, education, and gaming, and many more. The ease of understanding unstructured data through tools and techniques of data science has given an armor of success to data scientists. Hidden patterns, latent structures and other unseen information is carefully extracted through data science tools and techniques. These tools and techniques are based on supervised and unsupervised data engineering which involves an amalgamation of machine learning and artificial intelligence techniques.
The main aim of this book is to bring together the ideas, concepts, paradigms, tools, methods and techniques which span across supervised and unsupervised engineering specifically for medical data engineering. The data derived from customers, patients is raw and unstructured. To make this data actionable, connectivism is required. This is achieved using various techniques of supervised and unsupervised learning.
The ease of deployment and ease of understanding makes supervised and unsupervised data engineering a fascinating tool in medical and healthcare. The patients, as now, tested positive for CoVid -19 have shown various types of symptoms. This data when analyzed across populations can give useful insights and in the development of counteractive and proactive strategies. This is also useful in giving personalized health care services to those in need such as differently-abled, elders etc.
This book "Supervised and Unsupervised Data Engineering for Medical Data (SUDEM-2022)" aims to publish original scientific research thus bringing researchers, academicians, scholars, medical professionals to a platform of information exchange in the field of medical and healthcare. Thus developing solutions to dynamic problems using supervised and unsupervised data engineering.
Submission Guidelines
All chapters must be original and not simultaneously submitted to another journal or book or conference. The plagiarism should be less than 15% and the focus should be on proposing some novel methods and technologies to deal with the medical data.
The chapters can be submitted at:
https://easychair.org/conferences/?conf=SUDEM2022
Editors
Dr. Charu Gupta,
Department of Computer Science and Engineering,
Bhagwan Parshuram Institute of Technology,
Delhi, India.
Dr. Prateek Agrawal
Associate Professor & Head - Department of Intelligent Systems,
School of Computer Science Engineering,
Lovely Professional University, Punjab, India
Dr. Niranjanamurthy M.,
Department . of Computer Applications,
M S Ramaiah Institute of Technology,
Bangalore, India.
Dr. Bharti Sharma,
Department of Information Technology,
Maharaja Surajmal Institute of Technology,
Delhi, India.
Dr. Adeel Hashmi,
Department of Computer Science and Engineering,
Maharaja Surajmal Institute of Technology,
Delhi, India.
Contact
All questions about submissions should be emailed to
or
<ashashmi10@gmail.com>