Exploring Database Management Systems by Goar Vishal (8 results)

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Taschenbuch. Condition: Neu. Exploring Database Management Systems in the Context of Medical Data | With a focus on efficient storage and retrieval | Vishal Goar | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786205524466 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The medical field has witnessed a surge in the importance of data, with medical data playing a crucial role in patient diagnosis and healthcare practices. It encompasses a wide range of information, including patient personal details, reports, and treatment records. The advent of technology has led to the generation of data in various formats, such as text, images, and videos. However, effectively storing and retrieving electronically generated medical data presents significant challenges. Data storage has always been a priority, and healthcare data is no exception. As healthcare data becomes increasingly digitized, its volume, velocity, and value continue to grow. Efficient management of this data is essential for practitioners, healthcare organizations, and patient well-being. Moreover, medical imaging technology has revolutionized the healthcare industry, enabling early disease detection and improved patient recovery. However, it generates massive amounts of semi-structured and unstructured visual data, necessitating advanced data models for efficient retention and retrieval. This research aims to evaluate different database management systems. 120 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The medical field has witnessed a surge in the importance of data, with medical data playing a crucial role in patient diagnosis and healthcare practices. It encompasses a wide range of information, including patient personal details, reports, and treatment.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The medical field has witnessed a surge in the importance of data, with medical data playing a crucial role in patient diagnosis and healthcare practices. It encompasses a wide range of information, including patient personal details, reports, and treatment records. The advent of technology has led to the generation of data in various formats, such as text, images, and videos. However, effectively storing and retrieving electronically generated medical data presents significant challenges. Data storage has always been a priority, and healthcare data is no exception. As healthcare data becomes increasingly digitized, its volume, velocity, and value continue to grow. Efficient management of this data is essential for practitioners, healthcare organizations, and patient well-being. Moreover, medical imaging technology has revolutionized the healthcare industry, enabling early disease detection and improved patient recovery. However, it generates massive amounts of semi-structured and unstructured visual data, necessitating advanced data models for efficient retention and retrieval. This research aims to evaluate different database management systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The medical field has witnessed a surge in the importance of data, with medical data playing a crucial role in patient diagnosis and healthcare practices. It encompasses a wide range of information, including patient personal details, reports, and treatment records. The advent of technology has led to the generation of data in various formats, such as text, images, and videos. However, effectively storing and retrieving electronically generated medical data presents significant challenges. Data storage has always been a priority, and healthcare data is no exception. As healthcare data becomes increasingly digitized, its volume, velocity, and value continue to grow. Efficient management of this data is essential for practitioners, healthcare organizations, and patient well-being. Moreover, medical imaging technology has revolutionized the healthcare industry, enabling early disease detection and improved patient recovery. However, it generates massive amounts of semi-structured and unstructured visual data, necessitating advanced data models for efficient retention and retrieval. This research aims to evaluate different database management systems.