Machine Learning in Clinical Neuroscience (Record no. 200457871)

MARC details
000 -LEADER
fixed length control field 06935nam a22006135i 4500
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231109085840.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211203s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030852924
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-85292-4
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency TR-AnTOB
Language of cataloging eng
Description conventions rda
Transcribing agency TR-AnTOB
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number WL 26.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code MNN
Source bicssc
Subject category code MED085010
Source bisacsh
Subject category code MNN
Source thema
096 ## - LOCALLY ASSIGNED NLM-TYPE CALL NUMBER (OCLC)
Classification number WL26.5EBK
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
245 10 - TITLE STATEMENT
Title Machine Learning in Clinical Neuroscience
Medium [electronic resource] :
Remainder of title Foundations and Applications /
Statement of responsibility, etc. edited by Victor E. Staartjes, Luca Regli, Carlo Serra.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Acta Neurochirurgica Supplement,
International Standard Serial Number 2197-8395 ;
Volume/sequential designation 134
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- Foundations of machine learning-based clinical prediction modeling - Part I: Introduction and general principles -- Foundations of machine learning-based clinical prediction modeling - Part II: Generalization and Overfitting -- Foundations of machine learning-based clinical prediction modeling - Part III: Evaluation and other points of significance -- Foundations of machine learning-based clinical prediction modeling - Part IV: A practical approach to binary classification problems -- Foundations of machine learning-based clinical prediction modeling - Part V: A practical approach to regression problems -- Supervised and unsupervised learning / clustering -- Introduction to Bayesian Modeling -- Introduction to Deep Learning -- Overview of algorithms for machine-learning based clinical prediction modelling -- Foundations of feature selection in clinical prediction modelling -- Dimensionality reduction: Foundations and applications in clinical neuroscience -- Machine learning-based survival modeling: Foundations and Applications -- Making clinical prediction models available: A brief introduction -- Machine Learning-based Clustering Analysis: Foundational Concepts, Methods, and Applications -- Introduction to Machine Learning in Neuroimaging -- Overview of machine learning algorithms in imaging -- Foundations of classification modeling based on neuroimaging -- Foundations of lesion-symptom mapping using machine learning -- Foundations of Machine Learning-Based Segmentation in Cranial Imaging -- Foundations of lesion detection using machine learning in clinical neuroimaging -- Foundations of multiparametric brain tumor imaging characterization -- Radiomics in clinical neuroscience – Overview -- Radiomic feature extraction: Methodological Foundations -- Complexity and interpretability in machine vision -- Foundations of intraoperative anatomical recognition using machine vision -- Machine Vision Foundations -- Natural Language Processing: Foundations and Applications in Clinical Neuroscience -- Foundations of Time Series Analysis -- Overview of algorithms for natural language processing and time series analysis -- History of machine learning in neurosurgery -- The AI doctor - considerations for AI-based medicine -- Ethics of Machine Learning-Based Predictive Analytics -- Predictive analytics in clinical practice: Pro and contra -- Review of machine vision applications in neuroophtalmology -- Prediction Model -- Prediction Model -- Prediction Model -- Topical Review of machine learning in intracranial aneurysm surgery -- Review of applications of machine learning in neuroimaging -- Prediction Model -- An overview of machine learning applications in the Neurointensive Care Unit -- Prediction Model -- Review of natural language processing in the clinical neurosciences -- Review of big data applications in the clinical neurosciences -- Radiomic features associated with extent of resection in glioma surgery.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Nervous system
General subdivision Surgery.
Topical term or geographic name entry element Nervous system
General subdivision Radiography.
Topical term or geographic name entry element Neurology .
Topical term or geographic name entry element Ophthalmology.
Topical term or geographic name entry element Neurosurgery.
Topical term or geographic name entry element Neuroradiology.
Topical term or geographic name entry element Neurology.
Topical term or geographic name entry element Ophthalmology.
653 #0 - INDEX TERM--UNCONTROLLED
Uncontrolled term Models, Neurological
Uncontrolled term Machine Learning
Uncontrolled term Neurosciences
Uncontrolled term Neuroimaging
Uncontrolled term Neurosurgery
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Staartjes, Victor E.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Regli, Luca.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
Personal name Serra, Carlo.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Acta Neurochirurgica Supplement,
International Standard Serial Number 2197-8395 ;
Volume/sequential designation 134
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-030-85292-4">https://doi.org/10.1007/978-3-030-85292-4</a>
Materials specified Springer eBooks
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme National Library of Medicine
Koha item type E-Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Barcode Date last seen Copy number Date shelved Koha item type Public note
    National Library of Medicine Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Tıp Fakültesi Medikal Kütüphane Tıp Fakültesi Medikal Kütüphane 11/10/2023 Satın Alma / Purchase TIP   WL 26.5EBK EBK02326 03/11/2023 1 03/11/2023 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.