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Handbook of Autism Spectrum Disorder and the Law
This book addresses an important and relatively neglected topic in the scientific literature: individuals with autism spectrum disorder (ASD) who have dealings with the legal system. It examines issues and implications for autistic people, who have a significant risk for engagement with the legal system in some capacity (e.g., witness/bystander, victim, or perpetrator). Key areas of coverage include: Autistic people as victims and perpetrators of criminal activities, including violence, stalking, sexual exploitation, and cybercrime. Risks for unlawful behavior in individuals with autism and Asperger's. Legal assessment issues, such as witness protection and postconviction diagnoses. Legal ou...
Differential Diagnosis of Autism Spectrum Disorder
"Although cases of autism can, in retrospect, be identified before Kanner's 1943 classic report (also see Donvan and Zucker 2016), it was Kanner's genius to put together the core features that we continue to associate with autism; autistic aloneness and restricted interests/difficulties with change. This description was straightforward and atheoretical and has stood the test of time even as we debate the boundaries of autism today. The early years following Kanner's initial presentation were plagued by a lack of consistency in diagnosis and several mistaken beliefs about autism, e.g., associations with childhood schizophrenia and inappropriate parenting. This changed dramatically in the 1970...
Machine Learning and Deep Learning in Neuroimaging Data Analysis
Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.
Preemie Voices
The birth of a very premature baby is a shock for parents. The immediate anxiety about whether their infant will survive quickly leads to concerns about their child's future quality of life. In this inspiring and informative book, young people who were born weighing less than two pounds, three ounces provide candid and personal stories about their lives, challenges and accomplishments. Now in their thirties, these men and women were cared for at McMaster University Hospital in Hamilton, Ontario, soon after the introduction of newborn intensive care. Dr. Saroj Saigal, a renowned and award-winning neonatologist at McMaster, adds several chapters that outline the history of neonatology, describ...
Ziskin's Coping with Psychiatric and Psychological Testimony
"This highly effective guide is designed to help attorneys differentiate expert testimony that is scientifically well-established from authoritative pronouncements that are mainly speculative. Building on the foundation of Jay Ziskin's classic work, this updated text blends the best of previous editions with discussion of positive scientific advances in the field to provide practical guidance for experts and lawyers alike. Major contributors in the field summarize the state of the literature in numerous key areas of the behavioral sciences and law. Working from these foundations, the text provides extensive guidance, tips, and strategies for improving the quality of legal evaluations and tes...
Clinical Topics in Old Age Psychiatry
An overview of important current subjects in old age psychiatry, demonstrating the depth and breadth of the speciality.
