Big Update
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Update on Open Vascular Surgery, An Issue of Neurosurgery Clinics of North America, E-Book
Author: Michael T. Lawton
language: en
Publisher: Elsevier Health Sciences
Release Date: 2022-10-14
In this issue of Neurosurgery Clinics, guest editor Dr. Michael T. Lawton brings his considerable expertise to the topic of Update on Open Vascular Surgery. The field of open vascular neurosurgery has undergone significant change as endovascular technologies have advanced and endovascular market share has grown. In this issue, top experts in the field explore various responses to these trends, providing valuable information to neurosurgeons aspiring to stay current with contemporary management of aneurysms, brain arteriovenous malformations, cavernous malformations, and bypass techniques. - Contains 15 practice-oriented topics including wide neck and bifurcation aneurysms: balancing open and endovascular therapies; application of big data in vascular neurosurgery; rethinking cerebral bypass surgery; AI, machine learning and cavernous malformations; the transcavernous approach in vascular neurosurgery; and more. - Provides in-depth clinical reviews on open vascular surgery, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Data Mining and Big Data
This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21–24, 2022. The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Machine Learning, Optimization, and Big Data
This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.