Aboul Ella Hassanien, Dey, Nilanjan, Borra, Surekha  | CRC Press

311,560원  | 20210101  | 9781138492479

This book addresses recent advances in data mining, learning, and analysis of big volume medical images resulting at a high rate from both real time systems and off line systems. The book includes privacy, trust, and security issues related to medical Big Data and related IoT and presents case studies in healthcare analytics as well.

Hoffman, Sharona  | Cambridge University Press

176,960원  | 20161231  | 9781107166547

A comprehensive resource on health information technology and its legal, ethical, and policy implications, focusing on the intersection of law and policy. Combining exhaustive research with accessible writing, it will appeal to readers with diverse levels of expertise, including academics, students, health care providers, attorneys, and policy-makers.

Sharona Hoffman  | Cambridge University Press

49,200원  | 20161231  | 9781316617687

A comprehensive resource on health information technology and its legal, ethical, and policy implications, focusing on the intersection of law and policy. Combining exhaustive research with accessible writing, it will appeal to readers with diverse levels of expertise, including academics, students, health care providers, attorneys, and policy-makers.

Suganya, R. (EDT)  | CRC Press

440,480원  | 20180201  | 9781138557246

The book provides an automated system that could retrieve images based on user's interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.

Suganya, R., Rajaram, S., Abdullah, A. Sheik  | CRC Press

103,110원  | 20210402  | 9780367781514

The book provides an automated system that could retrieve images based on user's interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.

El-Baz, Ayman, Suri, Jasjit S.  | CRC Press

96,660원  | 20210702  | 9781032087276

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients.

 | Institution of Engineering & Technology

219,850원  | 20231201  | 9781839537431

Medical Imaging Informatics is an edited book that discusses how medical images can be processed using machine learning techniques and big data analysis methods. These tools help physicians to gain a full overview of a patient's data, which in turn assists with diagnosis, prognosis or intervention.

 | Springer

98,290원  | 20141222  | 9783319139715

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014.

 | Medical Information Science Reference

699,800원  | 20211030  | 9781799891727

Focuses on technologies and emerging topics regarding innovative solutions applied to the healthcare industry, including Big Data and Artificial Intelligence for enhancing human quality of life, as well as related challenges. The book also presents research on theoretical, methodological, and technological developments, and new applications.

 | Springer Nature B.V.

71,480원  | 20200516  | 9789811536557

This open access book describes the technologies needed to construct a secure big data infrastructure that connects data owners, analytical institutions, and user institutions in a circle of trust. It begins by discussing the most relevant technical issues involved in creating safe and privacy-preserving big data distribution platforms, and especially focuses on cryptographic primitives and privacy-preserving techniques, which are essential prerequisites.

Medical Information Science Reference, Li, Ruowang (EDT), Perrizo, William (EDT)  | Medical Information Science Reference

455,810원  | 20141031  | 9781466666115

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information.