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Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing (Studies on the Samantic Web, 58)


Price: $98.00
(as of Dec 27,2024 15:45:42 UTC – Details)




Publisher ‏ : ‎ IOS Press (January 1, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 176 pages
ISBN-10 ‏ : ‎ 1643684604
ISBN-13 ‏ : ‎ 978-1643684604
Item Weight ‏ : ‎ 11.2 ounces
Dimensions ‏ : ‎ 6.25 x 0.75 x 9 inches


Semantic intelligence plays a crucial role in healthcare cognitive computing by enabling machines to understand, interpret, and analyze the vast amount of healthcare data available. In the book “Studies on the Semantic Web, 58,” the roles and challenges of semantic intelligence in healthcare cognitive computing are explored in depth.

One of the key roles of semantic intelligence in healthcare cognitive computing is to facilitate interoperability and data integration. By using semantic models and ontologies, healthcare systems can ensure that different data sources can communicate with each other effectively, leading to a more comprehensive and holistic view of a patient’s health status.

Another important role of semantic intelligence in healthcare cognitive computing is to support clinical decision-making. By analyzing structured and unstructured data, semantic intelligence can help healthcare providers identify patterns, trends, and insights that can inform treatment plans and improve patient outcomes.

However, there are also significant challenges that come with implementing semantic intelligence in healthcare cognitive computing. One of the main challenges is the complexity and variability of healthcare data, which can make it difficult to create accurate and reliable semantic models.

Additionally, ensuring the privacy and security of patient data is a major concern when using semantic intelligence in healthcare cognitive computing. Healthcare organizations must implement robust security measures to protect sensitive information and comply with regulations such as HIPAA.

Overall, the integration of semantic intelligence into healthcare cognitive computing has the potential to revolutionize the way healthcare is delivered and improve patient outcomes. By understanding the roles and challenges associated with semantic intelligence in healthcare cognitive computing, healthcare organizations can harness the power of data to provide better care for patients.
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