Data Analysis For Neurodegenerative Disorders
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Data Analysis for Neurodegenerative Disorders
This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders. This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features: ● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection. ● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders. ● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.
Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases
Author: Katherine E. Irimata
language: en
Publisher: Johns Hopkins University Press
Release Date: 2020-05-05
A statistics textbook that delivers essential data analysis techniques for Alzheimer's and other neurodegenerative diseases. Alzheimer's disease is a devastating condition that presents overwhelming challenges to patients and caregivers. In the face of this relentless and as-yet incurable disease, mastery of statistical analysis is paramount for anyone who must assess complex data that could improve treatment options. This unique book presents up-to-date statistical techniques commonly used in the analysis of data on Alzheimer's and other neurodegenerative diseases. With examples drawn from the real world that will make it accessible to disease researchers, practitioners, academics, and students alike, this volume • presents code for analyzing dementia data in statistical programs, including SAS, R, SPSS, and Stata • introduces statistical models for a range of data types, including continuous, categorical, and binary responses, as well as correlated data • draws on datasets from the National Alzheimer's Coordinating Center, a large relational database of standardized clinical and neuropathological research data • discusses advanced statistical methods, including hierarchical models, survival analysis, and multiple-membership • examines big data analytics and machine learning methods Easy to understand but sophisticated in its approach, Fundamental Statistical Methods for Analysis of Alzheimer's and Other Neurodegenerative Diseases will be a cornerstone for anyone looking for simplicity in understanding basic and advanced statistical data analysis topics. Allowing more people to aid in analyzing data—while promoting constructive dialogues with statisticians—this book will hopefully play an important part in unlocking the secrets of these confounding diseases.
Handbook of Neurodegenerative Disorders
This Handbook discusses the pathology, etiology, pathogenesis, and therapeutic interventions of different neurodegenerative diseases. The initial section of the Handbook reviews the recent advances in understanding neurodegenerative diseases and the commonalities and differences between the major pathologies. The subsequent section presents recent developments in understanding fundamental biological mechanisms that influence the onset and development of neurodegenerative diseases. It provides current biomedical studies that are aimed at identifying the underlying causes of neurodegeneration. The book also examines the recent observations from biological, cellular, and studies from the model organisms for gaining mechanistic insights into neurodegenerative disorders. It also presents the epidemiological and genetics studies relevant to clinical aspects of neurodegenerative diseases. The book's subsequent chapters offer new and more effective therapeutic strategies to combat these devastating diseases. Towards the end, the Handbook presents recent advances in molecular diagnostics for neurodegenerative disorders and a perspective on the future directions to provide a framework for further developments and refinements of molecular diagnostics to combat neurodegenerative diseases.