DLPHS-2021: Deep Learning for Personalised Healthcare Services |
Website | https://sites.google.com/view/deeplearning-health/ |
Submission link | https://easychair.org/conferences/?conf=dlphs2021 |
Abstract registration deadline | October 1, 2020 |
Submission deadline | December 31, 2020 |
- Book Title: Deep Learning for Personalised Healthcare Services
- Publisher: De Gruyter, Germany
- Web Link: https://easychair.org/conferences/?conf=dlphs2021
Editors:
- Dr. Vishal Jain, Sharda University, Greater Noida, India (Email: drvishaljain83@gmail.com)
- Dr. Hadi Hedayati, Kabul University, Afghanistan (Email: hdhedayati@gmail.com)
- Dr. Salahddine Krit, Ibn Zohr University, Morocco (Email: salahddine.krit@gmail.com)
- Dr. Omer Deperlioglu, Afyon Kocatepe University, Turkey (Email: deperlioglu@gmail.com)
- Jyotir Moy Chatterjee, LBEF, Nepal (Email: jyotirchatterjee@gmail.com )
This book is being formulated with intent to uncover the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning algorithms. Successful application of deep learning frameworks to enable meaningful, cost-effective personalized health-care services is the primary aim of the healthcare industry in the present scenario. However, realizing this goal requires effective understanding, application and amalgamation of deep-learning and several other computing technologies to deploy such systems in an effective manner. This book shall help clarify understanding of certain key mechanisms and technologies helpful in realizing such systems. It covers topics not limited to: Machine learning: better billing/coding error detection (leading to reduced claims denials); optimization of supply chain for pharmaceuticals; and enhanced data mining, thus guiding effective diagnosis; NLP: Text-to-speech and vice-versa, document and data conversions, patient notes, processing of unstructured data, and query support systems; Deep learning and cognitive computing tools: Enables processing of very large data sets, helps with precise and comprehensive forecast of risks, and delivers recommended actions that improve outcomes for consumers. It is a novel application domain of deep learning that is of prime importance to human civilization as a whole. It has been predicted as the next big thing in personal health monitoring by the government as well as Forbes.
Recommended Topics:
- Applications of Deep Learning in Healthcare
- Deep Learning & Clinical Decision Support System
- Deep Learning for Analysis of Electronic Health Records
- Deep Learning for Clinical Decision Support Systems
- Deep Learning in Textural Medical Image Analysis
- Diabetes Detection Using ECG Signals
- Fuzzy Naive Bayesian system for Medical Decision Support
- Improving the Performance of Deep CNNs in Medical Image Segmentation with Limited Resources
- Intelligent Patient Health Record
- Medical Image Detection Using Deep Learning
- NLP for Clinical Data Analysis
- NLP in Medical Science
- Telemedicine
Submission Guidelines
Researchers and practitioners are invited to submit on or before 1st October, 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 by 20th November, 2020 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 31st December, 2020 and all interested authors must consult the guidelines for manuscript submissions at https://www.degruyter.com/view/supplement/s20814836_Instructions_for_Authors.pdf prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
PUBLISHER: This book is scheduled to be published by De Gruyter. The independent academic publisher De Gruyter can look back at a company history of 270 years. Today, the De Gruyter group publishes over 1,300 new titles each year in the humanities, social sciences, STM and law, more than 700 subscription based or Open Access journals, and a variety of digital products. The company is headquartered in Berlin, with offices in Basel, Beijing, Boston and Munich. Under its umbrella brand De Gruyter, the company runs the imprints of De Gruyter Akademie Forschung, Birkhäuser, De Gruyter Mouton, De Gruyter Oldenbourg, and De Gruyter Saur. Details are available at: https://www.degruyter.com/ .
Contact
All questions about submissions should be emailed to ...
- Dr. Vishal Jain, Sharda University, Greater Noida, India (Email: drvishaljain83@gmail.com)
- Dr. Hadi Hedayati, Kabul University, Afghanistan (Email: hdhedayati@gmail.com)
- Dr. Salahddine Krit, Ibn Zohr University, Morocco (Email: salahddine.krit@gmail.com)
- Dr. Omer Deperlioglu, Afyon Kocatepe University, Turkey (Email: deperlioglu@gmail.com)
- Jyotir Moy Chatterjee, LBEF, Nepal (Email: jyotirchatterjee@gmail.com )