| Applied Health Care Analytics: Enabling Transformative Health Care Through Data Science, Machine Learning, and Cognitive Computing Contributor(s): Albert, Mark (Author), Petrov, Plamen (Author) |
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ISBN: 9813142545 ISBN-13: 9789813142541 Publisher: World Scientific Publishing Company
Binding Type: Hardcover Published: March 2025 This item may be ordered no more than 25 days prior to its publication date of March 31, 2025 Click for more in this series: Advances and Opportunities with Big Data and Analytics |
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| Additional Information |
| BISAC Categories: - Computers | Databases - Data Mining - Computers | Intelligence (ai) & Semantics - Medical | Health Care Delivery |
| Series: Advances and Opportunities with Big Data and Analytics |
| Physical Information: 300 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The healthcare systems in the US and globally are undergoing a period of rapid transformation. Medical technology breakthroughs, economic pressures and demographic trends are driving that transformation, but key enablers and catalysts for those changes are advancements in Analytics, Data Science, Cognitive Computing, and Machine Learning. Massive volumes of data are created during regular healthcare administration, delivery, and research operations; additionally, outside the medical community people produce data as part of their daily activities and social interactions that can be mined for medical use. How can this data be put to use in an ethical way respecting privacy and security to achieve the goal of high quality, accessible and affordable Healthcare? Advanced analytics and cognitive computing are a big part of the answer. In Applied Heath Care Analytics, the authors provide a concise yet comprehensive review of the key enabling tech and explain how those technologies are becoming the backbone of the Healthcare of tomorrow. |
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