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Titlebook: Machine Learning in Clinical Neuroscience; Foundations and Appl Victor E. Staartjes,Luca Regli,Carlo Serra Conference proceedings 2022 The

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发表于 2025-3-21 16:56:37 | 显示全部楼层 |阅读模式
书目名称Machine Learning in Clinical Neuroscience
副标题Foundations and Appl
编辑Victor E. Staartjes,Luca Regli,Carlo Serra
视频video
概述Focuses on methodological foundations of machine learning for clinicians with a focus on neuroscientists.Discusses clinical applications of machine intelligence for improving patient care in clinical
丛书名称Acta Neurochirurgica Supplement
图书封面Titlebook: Machine Learning in Clinical Neuroscience; Foundations and Appl Victor E. Staartjes,Luca Regli,Carlo Serra Conference proceedings 2022 The
描述.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
出版日期Conference proceedings 2022
关键词Machine Learning; Artificial Intelligence; Machine Vision; Machine Intelligence; Natural Language Proces
版次1
doihttps://doi.org/10.1007/978-3-030-85292-4
isbn_softcover978-3-030-85294-8
isbn_ebook978-3-030-85292-4Series ISSN 0065-1419 Series E-ISSN 2197-8395
issn_series 0065-1419
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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978-3-030-85294-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Machine Learning in Clinical Neuroscience978-3-030-85292-4Series ISSN 0065-1419 Series E-ISSN 2197-8395
发表于 2025-3-22 11:47:31 | 显示全部楼层
Machine Learning-Based Clustering Analysis: Foundational Concepts, Methods, and Applicationsr clusters is one the central tasks of data science. Its exploratory and descriptive nature make it one of the most underused and underappreciated methods. In the present chapter we describe its core function with applied examples, explore different approaches, and discuss meaningful applications of the approach for the practicing researcher.
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Hendrik-Jan Mijderwijk,Stefan van Beek,Daan Nieboerthe overriding goal of discovering how narrative can help us to explain life. It analyzes why novelty is so hard to comprehend in the framework of Western thinking and confronts head-on the chasm betwee978-94-007-2612-3978-1-4020-9970-0Series ISSN 1875-4651 Series E-ISSN 1875-466X
发表于 2025-3-23 00:16:09 | 显示全部楼层
0065-1419 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, and978-3-030-85294-8978-3-030-85292-4Series ISSN 0065-1419 Series E-ISSN 2197-8395
发表于 2025-3-23 02:26:40 | 显示全部楼层
Machine Intelligence in Clinical Neuroscience: Taming the Unchained Prometheus,act, and deal with the many uncertainties in clinical practice, algorithms cannot. Algorithms must remain tools of our own mind, tools that we should be able to master, control, and apply to our advantage in an adjunctive manner. Our hope is that this book inspires and instructs physician-scientists
发表于 2025-3-23 06:37:35 | 显示全部楼层
Foundations of Machine Learning-Based Clinical Prediction Modeling: Part I—Introduction and General uning, and model selection, and ending with evaluation of model discrimination and calibration as well as robust internal or external validation of the fully developed model. Methodological rigor and clarity as well as understanding of the underlying reasoning of the internal workings of a machine l
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