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Modern Hip Preservation - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Hanguk Hip Hop - Myoung Sun Song - Bog - Springer Nature Switzerland AG - Plusbog.dk

Anterior Hip Replacement - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Anterior Hip Replacement - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Anterior hip replacement is a surgical approach that has dramatically changed the landscape of modern hip replacement. The approach is common to orthopedic trauma surgery, but it has been rapidly adopted in recent years for hip replacement as well. Its proposed benefits as a muscle-sparing surgery include less tissue trauma, faster recovery, and fewer hip precautions. While the technique can be challenging during initial learning and early adoption, the approach continues to increase in utilization in the U.S. every year because of these benefits. Understanding the initial development of the anterior surgical approach for hip replacement creates the foundation to better understand its modern clinical benefits and possibilities with advanced techniques. Furthermore, a detailed description of the reasoning behind the continued developments of the anterior approach helps in understanding the key elements needed to obtain the most successful outcomes. With the continued adoption of this technically challenging technique, there is a need for a comprehensive resource for newly adopting surgeons and surgeons in training, but also for experienced surgeons looking to enhance their skill sets. Written by experts in the field, this book presents the tips and tricks learned after years of experience by a wide spectrum of surgeons. Parts 1 and 2 describe the origin and background of the anterior approach for hip replacement, with early lessons learned, important tips when training others, and how to master the operating table and c-arm. Parts 3 and 4 cover hip biomechanics and variations on techniques and technologies, respectively, while part 5 is a unique compilation of surgeons'' perspectives on managing common aspects of the approach. Revision surgery is described in part 6, and future directions for the technique are discussed in part 7, along with emerging navigation and technologies. Every year, there is an increasing number of orthopedic surgeons learning and adopting the anterior hip approach who would benefit from the resources in this book, which will serve as a critical learning tool for training surgeons and also as the go-to reference for optimizing current use and advancing future possibilities of the approach.

DKK 967.00
1

The Values of Independent Hip-Hop in the Post-Golden Era - Christopher Vito - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Networking - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Networking - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Networking - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Hip Prosthesis - Najwa Syakirah Hamizan - Bog - Springer Nature Switzerland AG - Plusbog.dk

Developmental Dysplasia of the Hip - - Bog - Springer Nature Switzerland AG - Plusbog.dk

DKK 816.00
1

Machine Learning in Clinical Neuroscience - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning in Clinical Neuroscience - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience. Authored by a wide array of experienced global machine learning groups, the book is aimed at clinicians who are interested in mastering the basics of machine learning and who wish to get started with their own machine learning research. The volume is structured in two major parts: The first uniquely introduces all major concepts in clinical machine learning from the ground up, and includes step-by-step instructions on how to correctly develop and validate clinical prediction models. It also includes methodological and conceptual foundations of other applications of machine learning in clinical neuroscience, such as applications of machine learning to neuroimaging, natural language processing, and time series analysis. The second part provides an overview of some state-of-the-art applications of these methodologies. The Machine Intelligence in Clinical Neuroscience (MICN) Laboratory at the Department of Neurosurgery of the University Hospital Zurich studies clinical applications of machine intelligence to improve patient care in clinical neuroscience. The group focuses on diagnostic, prognostic and predictive analytics that aid in decision-making by increasing objectivity and transparency to patients. Other major interests of our group members are in medical imaging, and intraoperative applications of machine vision.

DKK 986.00
1

An Introduction to Machine Learning - Sanjay Churiwala - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Cyber Security - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Cyber Security - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Cyber Security - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Networking - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Automated Machine Learning - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning and Principles and Practice of Knowledge Discovery in Databases - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning and Principles and Practice of Knowledge Discovery in Databases - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops: Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021) Workshop on Parallel, Distributed and Federated Learning (PDFL 2021) Workshop on Graph Embedding and Mining (GEM 2021) Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021) Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021) Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021) Workshop on Bias and Fairness in AI (BIAS 2021) Workshop on Workshop on Active Inference (IWAI 2021) Workshop on Machine Learning for Cybersecurity (MLCS 2021) Workshop on Machine Learning in Software Engineering (MLiSE 2021) Workshop on MIning Data for financial applications (MIDAS 2021) Sixth Workshop on Data Science for Social Good (SoGood 2021) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021) Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)

DKK 731.00
1

The Cultural Life of Machine Learning - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The Cultural Life of Machine Learning - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Machine Learning for Cyber Security - - Bog - Springer Nature Switzerland AG - Plusbog.dk