Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799834425
Category : Medical
Languages : en
Pages : 671
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.
Research Anthology on Diagnosing and Treating Neurocognitive Disorders
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799834425
Category : Medical
Languages : en
Pages : 671
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.
Publisher: IGI Global
ISBN: 1799834425
Category : Medical
Languages : en
Pages : 671
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.
Emerging Technologies for Diagnosing Alzheimer's Disease
Author: Marianne Boenink
Publisher: Springer
ISBN: 1137540974
Category : Social Science
Languages : en
Pages : 300
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.
Publisher: Springer
ISBN: 1137540974
Category : Social Science
Languages : en
Pages : 300
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.
Early Diagnosis of Alzheimer's Disease
Author: Leonard F. M. Scinto
Publisher: Springer Science & Business Media
ISBN:
Category : Medical
Languages : en
Pages : 384
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.
Publisher: Springer Science & Business Media
ISBN:
Category : Medical
Languages : en
Pages : 384
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.
Computational Analysis and Deep Learning for Medical Care
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 1119785723
Category : Computers
Languages : en
Pages : 532
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.
Publisher: John Wiley & Sons
ISBN: 1119785723
Category : Computers
Languages : en
Pages : 532
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.
Neurology in Clinical Practice
Author: Walter George Bradley
Publisher:
ISBN: 9780750674690
Category : Diagnosis
Languages : en
Pages : 1672
Book Description
New edition, completely rewritten, with new chapters on endovascular surgery and mitochrondrial and ion channel disorders.
Publisher:
ISBN: 9780750674690
Category : Diagnosis
Languages : en
Pages : 1672
Book Description
New edition, completely rewritten, with new chapters on endovascular surgery and mitochrondrial and ion channel disorders.
Reviews on New Drug Targets in Age-Related Disorders
Author: Paul C. Guest
Publisher: Springer
ISBN: 9783030426668
Category : Science
Languages : en
Pages : 340
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.
Publisher: Springer
ISBN: 9783030426668
Category : Science
Languages : en
Pages : 340
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.
The American Psychiatric Association Practice Guideline on the Use of Antipsychotics to Treat Agitation or Psychosis in Patients With Dementia
Author: American Psychiatric Association
Publisher: American Psychiatric Pub
ISBN: 0890426775
Category : Medical
Languages : en
Pages : 220
Book Description
The guideline offers clear, concise, and actionable recommendation statements to help clinicians to incorporate recommendations into clinical practice, with the goal of improving quality of care. Each recommendation is given a rating that reflects the level of confidence that potential benefits of an intervention outweigh potential harms.
Publisher: American Psychiatric Pub
ISBN: 0890426775
Category : Medical
Languages : en
Pages : 220
Book Description
The guideline offers clear, concise, and actionable recommendation statements to help clinicians to incorporate recommendations into clinical practice, with the goal of improving quality of care. Each recommendation is given a rating that reflects the level of confidence that potential benefits of an intervention outweigh potential harms.
The Problem of Alzheimer's
Author: Jason Karlawish
Publisher: St. Martin's Press
ISBN: 1250218748
Category : Health & Fitness
Languages : en
Pages : 269
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.
Publisher: St. Martin's Press
ISBN: 1250218748
Category : Health & Fitness
Languages : en
Pages : 269
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.
Machine Intelligence and Signal Analysis
Author: M. Tanveer
Publisher: Springer
ISBN: 981130923X
Category : Technology & Engineering
Languages : en
Pages : 757
Book Description
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.
Publisher: Springer
ISBN: 981130923X
Category : Technology & Engineering
Languages : en
Pages : 757
Book Description
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.
A Tattoo on my Brain
Author: Daniel Gibbs
Publisher: Cambridge University Press
ISBN: 1009333585
Category : Medical
Languages : en
Pages : 227
Book Description
Dr Daniel Gibbs is one of 50 million people worldwide with an Alzheimer's disease diagnosis. Unlike most patients with Alzheimer's, however, Dr Gibbs worked as a neurologist for twenty-five years, caring for patients with the very disease now affecting him. Also unusual is that Dr Gibbs had begun to suspect he had Alzheimer's several years before any official diagnosis could be made. Forewarned by genetic testing showing he carried alleles that increased the risk of developing the disease, he noticed symptoms of mild cognitive impairment long before any tests would have alerted him. In this highly personal account, Dr Gibbs documents the effect his diagnosis has had on his life and explains his advocacy for improving early recognition of Alzheimer's. Weaving clinical knowledge from decades caring for dementia patients with his personal experience of the disease, this is an optimistic tale of one man's journey with early-stage Alzheimer's disease. Soon to be a documentary film on MTV/Paramount +.
Publisher: Cambridge University Press
ISBN: 1009333585
Category : Medical
Languages : en
Pages : 227
Book Description
Dr Daniel Gibbs is one of 50 million people worldwide with an Alzheimer's disease diagnosis. Unlike most patients with Alzheimer's, however, Dr Gibbs worked as a neurologist for twenty-five years, caring for patients with the very disease now affecting him. Also unusual is that Dr Gibbs had begun to suspect he had Alzheimer's several years before any official diagnosis could be made. Forewarned by genetic testing showing he carried alleles that increased the risk of developing the disease, he noticed symptoms of mild cognitive impairment long before any tests would have alerted him. In this highly personal account, Dr Gibbs documents the effect his diagnosis has had on his life and explains his advocacy for improving early recognition of Alzheimer's. Weaving clinical knowledge from decades caring for dementia patients with his personal experience of the disease, this is an optimistic tale of one man's journey with early-stage Alzheimer's disease. Soon to be a documentary film on MTV/Paramount +.