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Machine Learning In Action Stroke Diagnosis And Outcome Prediction


Machine Learning In Action Stroke Diagnosis And Outcome Prediction
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Machine Learning In Action Stroke Diagnosis And Outcome Prediction


Machine Learning In Action Stroke Diagnosis And Outcome Prediction
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Author : Ramin Zand
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-18

Machine Learning In Action Stroke Diagnosis And Outcome Prediction written by Ramin Zand and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-18 with Medical categories.




Pitfalls In The Diagnosis Of Neurological Disorders


Pitfalls In The Diagnosis Of Neurological Disorders
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Author : Ambar Chakravarty
language : en
Publisher: Jaypee Brothers Medical Publishers
Release Date : 2022-10-31

Pitfalls In The Diagnosis Of Neurological Disorders written by Ambar Chakravarty and has been published by Jaypee Brothers Medical Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-31 with Medical categories.


Accurate diagnosis of neurological disorders can often be difficult due to the complex nature of the nervous system. Whilst technological advances have greatly improved diagnostic and interpretation techniques, errors can still occur, which consequently result in mistakes in therapeutic care. This book is a guide to diagnostic strategies for a multitude of common and less common neurological disorders. Scenarios are set in both a clinical and an intensive care setting. Divided into 13 sections, the text begins with an overview of general neurology. Each of the following sections examines disorders in a different part of the nervous system. Diagnostic processes are evaluated and potential areas where a clinician may make a mistake, are examined and explained in depth. The final section presents 15 authentic cases covering diagnostic challenges in critical care units, all provided by leading experts from the University of Texas Southwestern Medical Centre, USA. With contributions from internationally recognised neurologists, this comprehensive text is highly illustrated with neurological images, and many chapters feature additional editorial notes and appendices. Access to a selection of clinical videos via a QR code is also provided with this book.



Big Data Analytics To Advance Stroke And Cerebrovascular Disease A Tool To Bridge Translational And Clinical Research


Big Data Analytics To Advance Stroke And Cerebrovascular Disease A Tool To Bridge Translational And Clinical Research
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Author : Alexis Netis Simpkins
language : en
Publisher: Frontiers Media SA
Release Date : 2023-12-26

Big Data Analytics To Advance Stroke And Cerebrovascular Disease A Tool To Bridge Translational And Clinical Research written by Alexis Netis Simpkins and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-26 with Medical categories.




Predictive Algorithms For Rehabilitation And Assistive Systems


Predictive Algorithms For Rehabilitation And Assistive Systems
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Author : Korupalli, V. Rajesh Kumar
language : en
Publisher: IGI Global
Release Date : 2025-05-21

Predictive Algorithms For Rehabilitation And Assistive Systems written by Korupalli, V. Rajesh Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.


Advances in predictive algorithms have been integrated into the development and optimization of rehabilitation and assistive technologies. When applied, predictive algorithms, as well as machine learning (ML) models and data analytics, have the potential to create personalized rehabilitation programs and devices. They are important for enhancing the rehabilitation process and improving patient outcomes. As a result, predictive analytics are crucial to advancing healthcare solutions and the field of biomedical engineering. Predictive Algorithms for Rehabilitation and Assistive Systems provides valuable insights into how data-driven approaches can enhance the efficacy of rehabilitation processes, improve patient outcomes, and foster innovation in assistive technology development. Covering topics such as response patterns, maladaptive pain perception, and disease prediction, this book is an excellent resource for biomedical engineers, medical practitioners, policymakers, professionals, researchers, scholars, academicians, and more.



Machine Learning In Data Analysis For Stroke Endovascular Therapy


Machine Learning In Data Analysis For Stroke Endovascular Therapy
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Author : Benjamin Yim
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-05

Machine Learning In Data Analysis For Stroke Endovascular Therapy written by Benjamin Yim and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Medical categories.


With an estimated global incidence of 11 million patients per year, research involving ischemic stroke requires the collection and analysis of massive data sets affected by innumerable variables. Landmark studies that have historically shaped the foundation of our understanding of ischemic stroke and the development of management protocols have been derived from only a miniscule fraction of a percent of the entire population due to feasibility and capability. Machine learning provides an opportunity to capture data from an extraordinarily larger cohort size, which can be applied to training models to formulate algorithms to forecast outcomes with unparalleled accuracy and efficiency. The paradigm-shifting integration of machine learning in other industries, i.e. robotics, finance, and marketing, foreshadows its inevitable application to large population-based clinical research and practice. While prior multi-center studies have relied heavily on catalogued datasets requiring substantial manpower, the recent development of modern statistical methods can potentially expand the available quantity and quality of clinical data. In conjunction with data mining, machine learning has allowed automated extraction of clinical information from imaging, surgical videos, and electronic medical records to identify previously unseen patterns and create prediction models. Recently, it’s use in real-time detection of large vessel occlusion has streamlined health care delivery to a level of efficiency previously unmatched. The application of machine learning in ischemic stroke research – data acquisition, image evaluation, and prediction models – has the potential to reduce human error and increase reproducibility, accuracy, and precision with an unprecedented degree of power. However, one of the challenges with this integration remains the methods in which machine learning is utilized. Given the novelty of machine learning in clinical research, there remains significant variations in the application of machine learning tools and algorithms. The focus of the research topic is to provide a platform to compare the merits of various learning approaches – supervised, semi-supervised, unsupervised, self-learning – and the performances of various models.



Neurocritical Care An Issue Of Critical Care Clinics E Book


Neurocritical Care An Issue Of Critical Care Clinics E Book
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Author : Lori Shutter
language : en
Publisher: Elsevier Health Sciences
Release Date : 2022-11-06

Neurocritical Care An Issue Of Critical Care Clinics E Book written by Lori Shutter and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-06 with Medical categories.


In this issue of Critical Care Clinics, guest editors Drs. Lori Shutter and Deepa Malaiyandi bring their considerable expertise to the topic of Neurocritical Care, a rapidly growing specialty of complex care. Top experts in the field provide up-to-date articles on important clinical trials and evidence-based care of the critically ill patient with neurological injury. - Contains 16 practice-oriented topics including current management of acute ischemic stroke; status epilepticus: a neurological emergency; neurotrauma and ICP management; neuropharmacology in the ICU; artificial intelligence and big data science in neurocritical care; and more. - Provides in-depth clinical reviews on neurocritical care, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.



Artificial Intelligence For Medicine


Artificial Intelligence For Medicine
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Author : Yoshiki Oshida
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-10-11

Artificial Intelligence For Medicine written by Yoshiki Oshida and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-11 with Technology & Engineering categories.


The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.



X Latin American Conference On Biomedical Engineering


X Latin American Conference On Biomedical Engineering
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Author : Fabiola M. Martinez-Licona
language : en
Publisher: Springer Nature
Release Date : 2025-04-29

X Latin American Conference On Biomedical Engineering written by Fabiola M. Martinez-Licona and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Technology & Engineering categories.


This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on technologies transforming health in Latin America. This second volume of a 2-volume set covers advances in the development of assistive, therapeutic, and diagnostic devices, and cutting-edge methods for biological signal acquisition and analysis. Throughout the book, a special emphasis is given to low-cost affordable technologies and to their development for and applications in clinical settings. Based on the X Latin American Conference on Biomedical Engineering (CLAIB 2024) held on October 2-5, 2024, in Panama City, Panama, this book provides researchers and professionals in the biomedical engineering field with extensive information on new technologies and current challenges for their clinical applications.



Machine Learning Fundamentals In Action A Step By Step Guide To Implementing Machine Learning Solutions


Machine Learning Fundamentals In Action A Step By Step Guide To Implementing Machine Learning Solutions
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Author : Konstantin Titov
language : en
Publisher: Konstantin Titov
Release Date :

Machine Learning Fundamentals In Action A Step By Step Guide To Implementing Machine Learning Solutions written by Konstantin Titov and has been published by Konstantin Titov this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Master Machine Learning Fundamentals Whether you’re an aspiring data scientist, business professional, or curious learner, Machine Learning Fundamentals in Action is your essential guide to the world of machine learning. Packed with practical examples and real-world applications, this book helps you navigate key concepts and techniques transforming industries today. Unlock the Power of Machine Learning Discover every step, from data preparation to building and deploying models, with clear and actionable insights. Who Is This Book For? Aspiring Data Scientists: Build a solid foundation in ML concepts. Business Professionals: Use data-driven decisions to solve challenges. Developers and Engineers: Get hands-on experience with model-building techniques. Curious Learners: Understand ML with easy, step-by-step explanations. What You’ll Learn: Core ML principles and real-world applications Types of ML: Supervised, Unsupervised, and Reinforcement Learning Advanced topics: Neural networks, deep learning, and more How to deploy models and avoid common pitfalls Start your machine learning journey today!



Machine Learning And Ai In Medicine Enhancing Diagnosis Prognosis And Therapeutics


Machine Learning And Ai In Medicine Enhancing Diagnosis Prognosis And Therapeutics
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Author : Dr. RVS Praveen
language : en
Publisher: Addition Publishing House
Release Date : 2024-10-29

Machine Learning And Ai In Medicine Enhancing Diagnosis Prognosis And Therapeutics written by Dr. RVS Praveen and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Antiques & Collectibles categories.


AI in Medicine is a forward-thinking exploration of how artificial intelligence is reshaping the healthcare landscape. The book covers a wide range of topics, from machine learning and natural language processing to robotics and personalized medicine, illustrating the diversity of AI’s applications in clinical and research settings. Each chapter is dedicated to a different aspect of AI in medicine, including its role in diagnostics, decision-making, patient management, and drug development. The book offers both theoretical insights and practical examples, showcasing how AI technologies are already being used to improve healthcare outcomes. In addition to its focus on technological advancements, AI in Medicine also explores the ethical dilemmas and regulatory challenges that come with the widespread adoption of AI in healthcare systems. With contributions from experts in both AI and medical fields, this book provides an interdisciplinary approach that bridges the gap between technology and clinical practice. It is an essential read for those looking to understand not only the current state of AI in medicine but also its future potential in transforming healthcare delivery worldwide.