Machine Learning In Data Analysis For Stroke Endovascular Therapy
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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.
Machine Learning And Decision Support In Stroke
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Author : Fabien Scalzo
language : en
Publisher: Frontiers Media SA
Release Date : 2020-07-09
Machine Learning And Decision Support In Stroke written by Fabien Scalzo 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 2020-07-09 with categories.
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.
Machine Learning And Deep Learning In Neuroimaging Data Analysis
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Author : Anitha S. Pillai
language : en
Publisher: CRC Press
Release Date : 2024-02-15
Machine Learning And Deep Learning In Neuroimaging Data Analysis written by Anitha S. Pillai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-15 with Computers categories.
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.
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.
Data Science In The Medical Field
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Author : Seifedine Kadry
language : en
Publisher: Elsevier
Release Date : 2024-09-30
Data Science In The Medical Field written by Seifedine Kadry and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Business & Economics categories.
Data science has the potential to influence and improve fundamental services such as the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare. Every human body produces 2 TB of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, such as data science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients. The book focuses on the potential and the tools of data science to identify the signs of illness at an extremely early stage. - Shows how improving automated analytical techniques can be used to generate new information from data for healthcare applications - Combines a number of related fields, with a particular emphasis on machine learning, big data analytics, statistics, pattern recognition, computer vision, and semantic web technologies - Provides information on the cutting-edge data science tools required to accelerate innovation for healthcare organizations and patients by reading this book
Machine Learning And Data Science In Heart Failure And Stroke
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Author : Leonardo Roever
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-07
Machine Learning And Data Science In Heart Failure And Stroke written by Leonardo Roever 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 2023-09-07 with Medical categories.
Bio Inspired Neurocomputing
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Author : Akash Kumar Bhoi
language : en
Publisher: Springer Nature
Release Date : 2020-07-21
Bio Inspired Neurocomputing written by Akash Kumar Bhoi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Technology & Engineering categories.
This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.
Artificial Intelligence In Acute Neurology
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Author : Tarun Singh
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-14
Artificial Intelligence In Acute Neurology written by Tarun Singh 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 2025-05-14 with Medical categories.
In recent years, the intersection of artificial intelligence (AI) and neurology has led to extraordinary advancements in the diagnosis, treatment, and management of acute neurological conditions. AI-driven technologies, such as machine learning algorithms and deep neural networks, have shown immense promise in transforming the landscape of acute care for patients facing neurological emergencies. This special issue aims to provide a comprehensive platform for researchers to showcase their cutting-edge work and explore the transformative potential of AI in acute neurology. The goal of this Research Topic is to shed light on the remarkable strides made in AI applications within acute neurology and emphasize their critical role in addressing existing gaps in patient care. As we move towards an era of personalized medicine, AI-based tools have the potential to revolutionize early detection, diagnosis, and treatment decision-making in acute neurological scenarios. By sharing your novel findings and perspectives, you will contribute to bridging the gap between AI research and clinical practice, fostering evidence-based approaches to improve patient outcomes.
The Application Of Artificial Intelligence In Interventional Neuroradiology
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Author : Yuhua Jiang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-03
The Application Of Artificial Intelligence In Interventional Neuroradiology written by Yuhua Jiang 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 2023-07-03 with Medical categories.