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- Author: Thomas Heinis
- Publisher: Now Publishers
- ISBN-10: 1680833480
- ISBN-13: 9781680833485
- Format: 15.6 x 23.4 x 0.7 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Data Infrastructure for Medical Research is an ideal primer for medical and computer science professionals designing and understanding data infrastructure for medical research. It focuses primarily on the data management and computer aspects of the problem. Nevertheless, the monograph is intended to appeal to both audiences: technical/computer scientists in the process of designing infrastructure and systems for the analysis of medical data as well as medical professionals who want to understand the challenges involved. The monograph looks at the most common and challenging topics in the context of developing infrastructure storing, processing and analyzing medical data. It surveys state-of-the-art methods, current research efforts of the most important topics around the treatment of medical data as well as the most relevant up and coming research efforts in the context of medical data.
EXTRA 10 % discount with code: EXTRA
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- Author: Thomas Heinis
- Publisher: Now Publishers
- ISBN-10: 1680833480
- ISBN-13: 9781680833485
- Format: 15.6 x 23.4 x 0.7 cm, minkšti viršeliai
- Language: English English
Data Infrastructure for Medical Research is an ideal primer for medical and computer science professionals designing and understanding data infrastructure for medical research. It focuses primarily on the data management and computer aspects of the problem. Nevertheless, the monograph is intended to appeal to both audiences: technical/computer scientists in the process of designing infrastructure and systems for the analysis of medical data as well as medical professionals who want to understand the challenges involved. The monograph looks at the most common and challenging topics in the context of developing infrastructure storing, processing and analyzing medical data. It surveys state-of-the-art methods, current research efforts of the most important topics around the treatment of medical data as well as the most relevant up and coming research efforts in the context of medical data.
Reviews