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 mod...

Ausführliche Beschreibung

Bibliographische Detailangaben

Weitere Verfasser:	Staartjes, Victor E. (HerausgeberIn), Regli, Luca 1962- (HerausgeberIn), Serra, Carlo (HerausgeberIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Cham Springer [2022]
Schriftenreihe:	Acta neurochirurgica supplement 134
Schlagworte:	Neurosurgery Neuroradiology Neurology Ophthalmology
Zusammenfassung:	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 --
Beschreibung:	vii, 361 Seiten Illustrationen
ISBN:	9783030852917