MLHCP-2019: Machine Learning with Health Care Perspective |
Website | http://www.vishaljain.webs.com |
Submission link | https://easychair.org/conferences/?conf=mlhcp2019 |
Abstract registration deadline | July 10, 2019 |
Submission deadline | November 1, 2019 |
The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breadth of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries. Explore the theory and practical applications of machine learning in healthcare. This book will offer a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges. One can discover the ethical implications of healthcare data analytics and the future of machine learning in population and patient health optimization. One can also create a machine learning model, evaluate performance and operationalize its outcomes within a organization. This book will provide techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning. This book tried to investigate how healthcare organizations can leverage this tapestry of machine learning to discover new business value, use cases, and knowledge as well as how machine learning can be woven into pre-existing business intelligence and analytics efforts.
- Book Title: Machine Learning with Health Care Perspective
- Publisher: Springer
Editors:
- Dr. Vishal Jain, BVICAM, New Delhi, India
- Prof. Jyotir Moy Chatterjee, Asia Pacific University of Technology & Innovation, Kathmandu, Nepal
Submission Guidelines
Researchers and practitioners are invited to submit on or before 10th July, 2019, 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 15th August, 2019 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 01st November, 2019 and all interested authors must consult the guidelines for manuscript submissions at https://www.springer.com/gp/authors-editors/book-authors-editors/resources-guidelines/book-manuscript-guidelines and https://www.springer.com/gp/authors-editors/book-authors-editors/ 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.
List of Topics
- Machine Learning for Healthcare: Introduction
- Feature Extraction and Applications of Bio signals
- Machine Learning Methods for Managing Parkinson’s Disease
- Challenges of Medical Text and Image Processing
- Machine Learning Solutions in Computer-Aided Medical Diagnosis
- Knowledge Discovery in Clinical Data
- Logistic Regression for Health Profiling
- Rule Learning in Healthcare and Health Services Research
- Diagnosis in Medical Imaging
- Identifying Diseases and Diagnosis using Machine Learning
- Machine Learning-based Behavioral Modification
- Smart Health Records
- Treatment Recommendation System
- Smart Health Informatics System
- Robotic Surgery
- Machine Learning for Healthcare Diagnostics
- Natural Language Processing utilization in Healthcare
- Clinical decision support and predictive analytics
- Genomics and Machine Learning
Publication
MLHCP-2019 proceedings will be published by Springer.
Contact
Dr. Vishal Jain, Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, India, Email: drvishaljain83@gmail.com
Prof. Jyotir Moy Chatterjee, Lord Buddha Education Foundation, (Asia Pacific University of Technology & Innovation), Kathmandu, Nepal, Email: jyotirm4@gmail.com