AIHS2023: Artificial Intelligence-based Healthcare Systems |
Submission link | https://easychair.org/conferences/?conf=aihs2023 |
Submission deadline | February 15, 2023 |
AIHS2023 is an edited book. The proposed book aims at exploring new applications in the field of science and technology for healthcare system engineering. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to facilitate the major population of rural areas. This book would encourage engineers, scientists and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It will also help the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions.
Submission Guidelines
All papers must be original and not simultaneously submitted to another Book, journal or conference. The following paper categories are welcome:
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Part- I: Smart Healthcare: An Artificial Intelligence Inspired IoT Based Solution
- Telemedicine
- Smart Healthcare: An Initiative towards Telemedicine
- Challenges Faced by Smart Healthcare Technology
- Role of AI in Telemedicine
- AI Based Framework for Control and Detection of Diseases
- IoT Platform for Telemedicine
- Cloud based Data Center Architecture
- Patient tracking, patient monitoring and hospital management
- Worldwide Impact of Smart Healthcare
- Smart Policies and Surveillance
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Part- II: Machine Learning Modelling for Smart Healthcare
- Various Machine Learning Models for Data Analysis
- Application of Machine Learning in Life-Threatening Diseases
- Various Data-Correlation Techniques for Accurate Prediction
- Diagnosis of Disease with Machine Learning Models
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Part- III: Deep Learning based Smart Healthcare Technology
- Various Deep Learning Models for Data Analysis
- Application of Deep Learning in Life-Threatening Diseases
- Diagnosis of Disease with Deep Learning Models
- Case Study 1: Detecting Parkinson’s Disease
- Case Study 2: Detecting Alzheimer’s Disease
Contact
All questions about submissions should be emailed to
Dr. Manju, Dr. Sandeep Kumar, Dr. Sardar M. N. Islam
manju.nunia@gmail.com, sandpoonia@gmail.com, Sardar.Islam@vu.edu.au