Opening book details…
Can I read Machine Learning in Healthcare Informatics Intelligent Systems Reference Library on EtoBox?
Machine Learning in Healthcare Informatics Intelligent Systems Reference Library by Pradeep Chowriappa, Sumeet Dua, Yavor Todorov (auth.), Sumeet Dua, U. Rajendra Acharya, Prerna Dua (eds.) is a computer science book available to read on EtoBox.
What is Machine Learning in Healthcare Informatics Intelligent Systems Reference Library about?
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 breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide
Who reads Machine Learning in Healthcare Informatics Intelligent Systems Reference Library?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Pradeep Chowriappa, Sumeet Dua, Yavor Todorov (auth.), Sumeet Dua, U. Rajendra Acharya, Prerna Dua (eds.)
- Publisher
- Springer-Verlag Berlin and Heidelberg GmbH &
- Published
- 2014
- Language
- EN
- ISBN
- 9783642400162
- Category
- computer science
- Subjects
- Engineering, Medical, Science
- Updated
- 2026-03-25
More by Pradeep Chowriappa, Sumeet Dua, Yavor Todorov (auth.), Sumeet Dua, U. Rajendra Acharya, Prerna Dua (eds.)
Similar books
- Computational Intelligence for Machine Learning and Healthcare Informatics — Srivastava, Rajshree; Kumar Mallick, Pradeep; Swarup Rautaray, Siddharth; Pandey, Manjusha (2020)
- Machine Learning Paradigms: Advances in Learning Analytics (Intelligent Systems Reference Library, 158) — Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain, Aristomenis S. Lampropoulos (2020)
- Computational Intelligence and Healthcare Informatics (Machine Learning in Biomedical Science and Healthcare Informatics) — Om Prakash Jena, Alok Ranjan Tripathy, Ahmed A. Elngar, Zdzislaw Polkowski (2021)
- Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models (Machine Learning in Biomedical Science and Healthcare Informatics) — Monika Mangla; Nonita Sharma; Poonam Mittal; Vaishali Mehta Wadhwa; Thirunavukkarasu K.; Shahnawaz Khan (2021)
- Reverse Hypothesis Machine Learning: A Practitioner's Perspective (Intelligent Systems Reference Library (128)) — Parag Kulkarni (2017)
- Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis (Studies in Computational Intelligence, 1024) — Sushruta Mishra; Hrudaya Kumar Tripathy; Pradeep Mallick; Khaled Shaalan (2022)