Machine Learning Methods in Biomedical Field: Computer-Aided Diagnostics, Healthcare and Biology Applications
暫譯: 生醫領域的機器學習方法：電腦輔助診斷、醫療保健與生物學應用
Moya-Albor, Ernesto, Ponce, Hiram, Brieva, Jorge
- 出版商: Springer
- 出版日期: 2026-10-12
- 售價: $8,260
- 貴賓價: 9.5 折 $7,847
- 語言: 英文
- 頁數: 492
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303196330X
- ISBN-13: 9783031963308
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相關分類:
Machine Learning
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商品描述
This book provides an in-depth exploration of machine learning techniques and their biomedical applications, particularly in developing intelligent computer-aided diagnostic systems, creating groundbreaking healthcare technologies, uncovering novel biological applications, and fostering sustainable health solutions.
Integrating artificial intelligence, mathematical modeling, and emergent systems, this book highlights the profound impact of these advanced tools in not only enhancing problem-solving within the biomedical field but also in catalyzing the development of novel solutions.
This book is a valuable resource for readers interested in understanding the revolutionary impact of novel machine learning methodologies on the biomedical landscape. Furthermore, it offers a blend of theory and practical applications for those interested in biomedical education and training, biology, medicine, and sustainable health development.
商品描述(中文翻譯)
本書深入探討機器學習技術及其在生物醫學領域的應用，尤其著重於開發智慧型電腦輔助診斷系統、創造突破性的醫療保健技術、發掘嶄新的生物學應用，以及推動永續健康解決方案。
本書整合人工智慧、數學建模與湧現系統（emergent systems），闡明這些先進工具不僅能提升生物醫學領域中的問題解決能力，也能促進創新解決方案的開發，帶來深遠影響。
對於希望了解新興機器學習方法如何徹底改變生物醫學領域的讀者而言，本書是極具價值的參考資源。此外，本書兼具理論與實務應用，適合對生物醫學教育與培訓、生物學、醫學及永續健康發展感興趣的讀者。
