Book:AIDDMD-2020: Artificial Intelligence for Data-Driven Medical Diagnosis |
Abstract registration deadline | February 29, 2020 |
Submission deadline | March 8, 2020 |
Call for Chapters
Artificial Intelligence for Data-Driven Medical Diagnosis
Edited by Deepak Gupta, Utku Kose, Bao Le Nguyen, Siddhartha Bhattacharyya
to be published by De Gruyter
Artificial Intelligence currently takes important role in solving complex real world problems. It is possible to mention that even our daily life includes many different applications of Artificial Intelligence powered solutions. Among all fields of the modern life, the field of medical has a remarkable and important place for flexible solutions provided by Artificial Intelligence. Changing from personal healthcare to drug discovery or medical diagnosis to development of physical devices, Artificial Intelligence is widely employed for improving the associated literature of medical. It is thought that the future of medical solutions depend on innovative developments by the Artificial Intelligence.
Moving from the explanations, objective of this edited book is to focus on research regarding data-driven medical diagnosis done with Artificial Intelligence based solutions. As it is known, medical diagnosis is an important factor for effective healthcare services and also keeping individuals’ well-being at an optimum point for experiencing good life standards. So, there is big effort in medical diagnosis and the data gathered from individuals has a principal role in providing effective diagnose at the end. Here, data may be in the form of discrete numerical values, time series, or even images captured via medical devices. Because of that, there is need for analyze of such data to have accurate diagnosis. This edited book includes recent research on data-driven diagnosis performed via Artificial Intelligence based solutions.
Submission Guidelines
All submissions should be done by email to: deepakgupta@mait.ac.in and / or utkukose@gmail.com
All papers must be original and not simultaneously submitted to another book project, journal or conference. The following important dates will be considered for the submissions:
- Full Paper Submission: 08.03.2020
- (you may ask to utkukose@gmail.com for pre-proposal and details for full paper preparation)
List of Topics (as not limited to)
- Artificial Intelligence for medical data pre-processing,
- Image / signal processing and Artificial Intelligence for medical diagnosis,
- Supporting traditional methods with Artificial Intelligence for better medical diagnosis,
- Machine Learning techniques (ANN, SVM, Decision Trees...etc.) for medical diagnosis,
- Deep Learning techniques (CNN, Belief Networks, Autoencoder, LSTM...etc.) for medical diagnosis,
- Artificial Intelligence based optimization (i.e. Swarm Intelligence) for supporting medical diagnosis,
- Hybrid intelligent systems for medical diagnosis,
- Physical medical diagnosis devices including Artificial Intelligence support,
- Intelligent healthcare and treatment solutions with medical diagnosis,
- Internet of Things (IoT) oriented intelligent medical diagnosis,
- Rare disease diagnosis with intelligent systems,
- Intelligent systems for medical image analysis and diagnosis,
- ...etc.
Editors
- Deepak Gupta, PhD. (Maharaja Agrasen Institute of Technology, India)
- Utku Kose, PhD. (Suleyman Demirel University, Turkey)
- Bao Le Nguyen, PhD. (Duy Tan University, Vietnam)
- Siddhartha Bhattacharyya, PhD. (RCC Institute of Information Technology, India)
Publication
'Artificial Intelligence for Data-Driven Medical Diagnosis' will be published by De Gruyter (Walter de Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, Germany).
Contact
All questions about submissions should be emailed to: deepakgupta@mait.ac.in and / or utkukose@gmail.com