医疗数据分析与高级计算智能
This book aims to apply state-of-the-art advanced computational intelligence frameworks in healthcare. It presents recent and real-life applications of computationally intelligent healthcare. It also discusses problems and solutions to remote healthcare and emergency healthcare services. Healthcare Analytics and Advanced Computational Intelligence highlights modern ambient intelligence-enabled healthcare models along with advanced topics like quantum computing in healthcare and cryptomedical systems.
Healthcare Analytics and Advanced Computational Intelligence examines designing the latest medical systems and models that will allow the societal acceptance of ambiance computing in healthcare, medical imaging, health analytics, machine intelligence, sensory computing, medical data analytics, disease detection, telemedicine, and their applications. It includes diverse case studies dealing with various clinical-based applications. These intelligent models are primarily structured to deal with complex real-world issues in clinical data analytics, by means of state-of-the-art techniques with general implementation, domain-specific solutions, or hybrid methods which integrate computational intelligence with conventional statistical methods.
The book is written for researchers and academicians in diverse areas. Engineers from technical disciplines such as computer engineering are likely to purchase the book. Various sub-streams such as machine learning, big data analytics, healthcare analytics, and computational intelligence will find the book significant for their curriculum.
这本书旨在将先进的计算智能框架应用于医疗领域。它介绍了最近和实际生活中的计算智能在医疗领域的应用，并讨论了远程医疗服务和紧急医疗服务的问题与解决方案。《健康数据分析与高级计算智能》一书强调了基于现代环境智能的医疗模型，以及量子计算在医疗领域的先进话题和加密医学系统。 本书研究了设计最新的医疗系统和模型，以使患者对环境计算在医疗、医学成像、健康分析、机器智能、传感器计算、医疗数据分析、疾病检测、远程医疗服务及其应用中被社会接受。它包含了许多涉及不同临床应用的多样化案例研究。这些智能模型主要设计来解决临床数据分析中的复杂现实问题，通过先进的技术实现，使用通用实施方法、领域特定解决方案或结合计算智能与传统统计方法的混合方法。 本书旨在为医疗领域的研究人员和学术界人士提供信息。来自计算机工程等技术学科的工程师很可能会购买这本书。机器学习、大数据分析、健康数据分析和计算智能的不同子流派都会发现这本书对他们的课程内容有重要价值。
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