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Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 1119785723
Category : Computers
Languages : en
Pages : 532
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Book Description
The book details deep learning models like ANN, RNN, LSTM, in many industrial sectors such as transportation, healthcare, military, agriculture, with valid and effective results, which will help researchers find solutions to their deep learning research problems. We have entered the era of smart world devices, where robots or machines are being used in most applications to solve real-world problems. These smart machines/devices reduce the burden on doctors, which in turn make their lives easier and the lives of their patients better, thereby increasing patient longevity, which is the ultimate goal of computer vision. Therefore, the goal in writing this book is to attempt to provide complete information on reliable deep learning models required for e-healthcare applications. Ways in which deep learning can enhance healthcare images or text data for making useful decisions are discussed. Also presented are reliable deep learning models, such as neural networks, convolutional neural networks, backpropagation, and recurrent neural networks, which are increasingly being used in medical image processing, including for colorization of black and white X-ray images, automatic machine translation images, object classification in photographs/images (CT scans), character or useful generation (ECG), image caption generation, etc. Hence, reliable deep learning methods for the perception or production of better results are a necessity for highly effective e-healthcare applications. Currently, the most difficult data-related problem that needs to be solved concerns the rapid increase of data occurring each day via billions of smart devices. To address the growing amount of data in healthcare applications, challenges such as not having standard tools, efficient algorithms, and a sufficient number of skilled data scientists need to be overcome. Hence, there is growing interest in investigating deep learning models and their use in e-healthcare applications. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in transportation, healthcare, biomedicine, military, agriculture.
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 1119785723
Category : Computers
Languages : en
Pages : 532
Get Book Here
Book Description
The book details deep learning models like ANN, RNN, LSTM, in many industrial sectors such as transportation, healthcare, military, agriculture, with valid and effective results, which will help researchers find solutions to their deep learning research problems. We have entered the era of smart world devices, where robots or machines are being used in most applications to solve real-world problems. These smart machines/devices reduce the burden on doctors, which in turn make their lives easier and the lives of their patients better, thereby increasing patient longevity, which is the ultimate goal of computer vision. Therefore, the goal in writing this book is to attempt to provide complete information on reliable deep learning models required for e-healthcare applications. Ways in which deep learning can enhance healthcare images or text data for making useful decisions are discussed. Also presented are reliable deep learning models, such as neural networks, convolutional neural networks, backpropagation, and recurrent neural networks, which are increasingly being used in medical image processing, including for colorization of black and white X-ray images, automatic machine translation images, object classification in photographs/images (CT scans), character or useful generation (ECG), image caption generation, etc. Hence, reliable deep learning methods for the perception or production of better results are a necessity for highly effective e-healthcare applications. Currently, the most difficult data-related problem that needs to be solved concerns the rapid increase of data occurring each day via billions of smart devices. To address the growing amount of data in healthcare applications, challenges such as not having standard tools, efficient algorithms, and a sufficient number of skilled data scientists need to be overcome. Hence, there is growing interest in investigating deep learning models and their use in e-healthcare applications. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in transportation, healthcare, biomedicine, military, agriculture.
Author: Walter George Bradley
Publisher:
ISBN: 9780750674690
Category : Diagnosis
Languages : en
Pages : 1672
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Book Description
New edition, completely rewritten, with new chapters on endovascular surgery and mitochrondrial and ion channel disorders.
Author: Marianne Boenink
Publisher: Springer
ISBN: 1137540974
Category : Social Science
Languages : en
Pages : 300
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Book Description
This book explores international biomedical research and development on the early diagnosis of Alzheimer's disease. It offers timely, multidisciplinary reflections on the social and ethical issues raised by promises of early diagnostics and asks under which conditions emerging diagnostic technologies can be considered a responsible innovation. The initial chapters in this edited volume provide an overview and a critical discussion of recent developments in biomedical research on Alzheimer's disease. Subsequent contributions explore the values at stake in current practices of dealing with Alzheimer's disease and dementia, both within and outside the biomedical domain. Novel diagnostic technologies for Alzheimer's disease emerge in a complex and shifting field, full of controversies. Innovating with care requires a precise mapping of how concepts, values and responsibilities are filled in through the confrontation of practices. In doing so, the volume offers a practice-based approach of responsible innovation that is also applicable to other fields of innovation.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799834425
Category : Medical
Languages : en
Pages : 671
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Book Description
Cognitive impairment, through Alzheimer’s disease or other related forms of dementia, is a serious concern for afflicted individuals and their caregivers. Understanding patients’ mental states and combatting social stigmas are important considerations in caring for cognitively impaired individuals. Technology is playing an increasing role in the lives of the elderly. One of the most prevalent developments for the aging population is the use of technological innovations for intervention and treatment of individuals with mental impairments. Research Anthology on Diagnosing and Treating Neurocognitive Disorders examines the treatment, diagnosis, prevention, and therapeutic and technological interventions of neurodegenerative disorders. It also describes programs and strategies that professional and family caregivers can implement to engage and improve the quality of life of persons suffering from cognitive impairment. Highlighting a range of topics such as dementia, subjective wellbeing, and cognitive decline, this publication is an ideal reference source for speech pathologists, social workers, occupational therapists, psychologists, psychiatrists, neurologists, pediatricians, researchers, clinicians, and academicians seeking coverage on neurocognitive disorder identification and strategies for clinician support and therapies.
Author: Leonard F. M. Scinto
Publisher: Springer Science & Business Media
ISBN:
Category : Medical
Languages : en
Pages : 384
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Book Description
The three major approaches to diagnosis of AD -- radiological, biological, and neurophysiological -- are discussed in detail with chapters highlighting the most promising technologies within these approaches. The leading authors, all of whom are intimately involved with these emerging technologies, have developed this as an essential reference for neuropathologists, clinicians and researchers of Alzheimer's disease.
Author: Tapan Khan
Publisher: Academic Press
ISBN: 0128051477
Category : Psychology
Languages : en
Pages : 278
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Book Description
Biomarkers in Alzheimer's Disease provides a comprehensive overview of all modalities of Alzheimer's disease biomarkers, including neuroimaging, cerebrospinal fluid, genomic, and peripheral systems. Each chapter integrates molecular/cellular abnormality due to Alzheimer's disease and technological advancement of biomarkers techniques. The book is ideal for clinical neuroscience and molecular/cellular neuroscience researchers, psychiatrists, and allied healthcare practitioners involved in the diagnosis and management of patients with cognitive impairment and Alzheimer's disease, and for differential diagnosis of Alzheimer's disease with other non-Alzheimer's dementia. - Presents a comprehensive overview detailing all modalities of Alzheimer's disease biomarkers - Written for neuroscience researchers and clinicians studying or treating patients with Alzheimer's Disease - Integrates, in each chapter, the molecular/cellular abnormality due to Alzheimer's disease and the technological advancement of biomarkers techniques
Author: Ahmed Moustafa
Publisher: Academic Press
ISBN: 0128213353
Category : Psychology
Languages : en
Pages : 256
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Book Description
Nearly 44 million people have Alzheimer's or related dementia worldwide, according to the Alzheimer's Disease International organization. That number is expected to double every 20 years. Unlike other books on the market, Alzheimer's Disease: Understanding Biomarkers, Big Data, and Therapy covers recent advancements in cognitive, clinical, neural, and therapeutic aspects of Alzheimer's and other forms of dementia.First, readers are introduced to cognitive and clinical studies, focusing on the different types of memory impairment, past and future thinking. This includes the prevalence of depression, its relationship to other symptoms, and the quality of life for those with Alzheimer's disease. In addition, the book discusses recent studies on memory dysfunction in advanced-stage Alzheimer's disease, in comparison to early-stage, including a chapter on the underlying factors in the transition from mild cognitive impairment to Alzheimer's diagnosis. Following this section, the book presents recent studies on the role of different cortical and subcortical structures in the development of various symptoms in Alzheimer's disease, as well as different neural biomarkers underlying the development and treatment of the disease. In the last section of the book, therapeutic aspects of Alzheimer's disease, focusing on behavioral and pharmacological treatments of sleep disorders, memory problems, and depression, are reviewed. The book aids readers in understanding the advances in research and care, making it a prime tool for all clinicians, psychologists, researchers, neurologists, and caregivers of dementia patients. - Reviews recent developments of cognitive and clinical studies - Covers factors underlying the transition from mild cognitive impairment to Alzheimer's disease - Discusses different neural biomarkers underlying the development and treatment of Alzheimer's disease - Provides a comparison of the effectiveness of various types of treatments
Author: Paul C. Guest
Publisher: Springer
ISBN: 9783030426668
Category : Science
Languages : en
Pages : 340
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Book Description
Aging is an inevitable part of life and is becoming a worldwide social, economic and health problem. This is mainly due to the fact that the increasing proportion of individuals in the advanced age category have a higher probability of developing age-related disorders, such as type II diabetes mellitus, cardiovascular disorders, sarcopenia, and neurodegenerative conditions. New therapeutic approaches are still needed to decrease or slow the effects of such diseases. Advances in -omic technologies, such as genomics, transcriptomics, proteomics and metabolomics, have significantly advanced our understanding of disease in multiple medical areas, as the analysis of multiple molecular networks has simultaneously provided a more integrated view of disease pathways. It is hoped that emerging hits from these analyses might be prioritized for further screening as potential novel drug targets for increasing the human healthspan in line with the lifespan. In turn, this will lead to new therapeutic strategies as well as drug development projects by the pharmaceutical industry. This book presents a series of reviews describing studies that have resulted in identification of new potential drug targets for age-related disorders. Much of this information has come from -omic comparisons of healthy and disease states or from testing the effects of new therapeutic approaches. Authored by experts from around the globe, each chapter is presented in the context of specific chronic diseases or therapeutic strategies. This book is designed for researchers in the areas of aging and chronic disease, as well as clinical scientists, physicians and stakeholders in major drug companies.
Author: Jason Karlawish
Publisher: St. Martin's Press
ISBN: 1250218748
Category : Health & Fitness
Languages : en
Pages : 269
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Book Description
A definitive and compelling book on one of today's most prevalent illnesses. In 2020, an estimated 5.8 million Americans had Alzheimer’s, and more than half a million died because of the disease and its devastating complications. 16 million caregivers are responsible for paying as much as half of the $226 billion annual costs of their care. As more people live beyond their seventies and eighties, the number of patients will rise to an estimated 13.8 million by 2050. Part case studies, part meditation on the past, present and future of the disease, The Problem of Alzheimer's traces Alzheimer’s from its beginnings to its recognition as a crisis. While it is an unambiguous account of decades of missed opportunities and our health care systems’ failures to take action, it tells the story of the biomedical breakthroughs that may allow Alzheimer’s to finally be prevented and treated by medicine and also presents an argument for how we can live with dementia: the ways patients can reclaim their autonomy and redefine their sense of self, how families can support their loved ones, and the innovative reforms we can make as a society that would give caregivers and patients better quality of life. Rich in science, history, and characters, The Problem of Alzheimer's takes us inside laboratories, patients' homes, caregivers’ support groups, progressive care communities, and Jason Karlawish's own practice at the Penn Memory Center.
Author: Ronald C. Petersen
Publisher: Oxford University Press
ISBN: 0198028741
Category : Medical
Languages : en
Pages : 286
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Book Description
What are the boundary zones between normal aging and Alzheimer's disease (AD)? Are many elderly people whom we regard as normal actually in the early stages of AD? Alzheimer's disease does not develop overnight; the early phases may last for years or even decades. Recently, clinical investigators have identified a transitional condition between normal aging and and very early Alzheimer's disease that they have called mild cognitive impairment, or MCI. This term typically refers to memory impairment beyond what one would expect in individuals of a given age whose other abilities to function in daily life are well preserved. Persons who meet the criteria for mild cognitive impairment have an increased risk of progressing to Alzheimer's disease in the near future. Though many questions about this condition and its underlying neuropathology remain open, full clinical trials are currently underway worldwide aimed at preventing the progression from MCI to Alzheimer's disease. This book addresses the spectrum of issues involved in mild cognitive impairment, and includes chapters on clinical studies, neuropsychology, neuroimaging, neuropathology, biological markers, diagnostic approaches, and treatment. It is intended for clinicians, researchers, and students interested in aging and cognition, among them neurologists, psychiatrists, geriatricians, clinical psychologists, and neuropsychologists.
