Author: Anastasiia Prysyazhnyuk Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Space exploration continues to be one of greatest endeavours of humankind. As manned space exploration extends to deep space, destinations such as the Moon and Mars, technological improvements and scientific advancements are in order, so as to enable safe prolonged human presence in space. Existing challenges of medical care delivery in space need to be addressed, while the meaningful and practical use of the acquired data will enable greater understanding of the impact of space travel on humans. This thesis proposes a novel wholistic approach to the human-technology ecosystem, enabling integration of the various components to address existing challenges of fragmented, retrospective discontinuous file-base data acquisition, in-batch data processing, extensive data down-sampling and an enormous amount of data loss. It presents an innovative solution to support proactive prognostics, diagnostics and health management, while providing the necessary tools to support action-taking and informed decision-making within the field of space medicine.
Author: Jennifer Yeung Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Computing frameworks that utilize big data analytics to support Clinical Decision Support Systems (CDSS) have proven to impact human lives in applications on Earth and in space. In the application of Space Medicine Decision Support Systems (SMDSS) on ISS missions and future space missions to the Moon and Mars, there is no known methodology that supports the unique challenges of human physiology in microgravity where countermeasure activities are conducted to help astronaut adaptation to spaceflight. There exist challenges in data integration, data synchronization, and spacecraft-to-ground communication limitations. To help address these challenges, this thesis proposes a framework for SMDSS that extends an existing big data online health analytics platform, Artemis, to support Clinical and Countermeasure Decision Support Systems. This framework has been instantiated by extending the Artemis platform. This is demonstrated within the context of countermeasure activities on the International Space Station (ISS) and a firefighter cold stress training activity.
Author: Adam Bohr Publisher: Academic Press ISBN: 0128184396 Category : Computers Languages : en Pages : 385
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Author: Michael Mahler Publisher: Academic Press ISBN: 032385432X Category : Science Languages : en Pages : 300
Book Description
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Author: Nilanjan Dey Publisher: Academic Press ISBN: 0128181478 Category : Science Languages : en Pages : 312
Book Description
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
Author: Zdravko Galić Publisher: Springer ISBN: 1493965751 Category : Computers Languages : en Pages : 116
Book Description
This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.
Author: Kareemullah H Publisher: Meem Publishers ISBN: 9787181308279 Category : Medical Languages : en Pages : 0
Book Description
A framework for real-time biomedical applications serves as a structured and organized approach to designing and developing software systems that handle and process biomedical data in real-time. These applications are essential in various medical contexts, such as patient monitoring, diagnostic tools, medical imaging, and more. Here's a description of such a framework: The Framework for Real-Time Biomedical Applications is a comprehensive software architecture designed to facilitate the development of robust and efficient real-time applications in the field of biomedicine. This framework seamlessly integrates cutting-edge technologies and methodologies to ensure accurate and timely processing of biomedical data for a wide range of medical purposes. This component handles the acquisition of raw biomedical data from sensors, devices, or imaging systems. It includes modules for data filtering, noise reduction, signal enhancement, and calibration. Real-time preprocessing ensures the quality and reliability of the data before further analysis. The heart of the framework, this component employs advanced algorithms to process biomedical data in real time. It encompasses various tasks such as pattern recognition, feature extraction, signal segmentation, and anomaly detection. By utilizing optimized algorithms, this module ensures prompt and accurate analysis, allowing for timely clinical decisions. Machine learning and artificial intelligence techniques are integrated to provide intelligent insights from the data. These algorithms can adapt to changing conditions and optimize performance over time. They aid in disease prediction, diagnosis, and personalized treatment recommendations based on real-time data trends. A user-friendly interface allows healthcare professionals to visualize the processed data, trends, and analysis results. Real-time graphical representations help medical practitioners make informed decisions quickly. Interactive dashboards and customizable views enhance usability and accessibility. The framework ensures seamless integration with existing healthcare systems, Electronic Health Records (EHRs), and other medical databases. It facilitates real-time data sharing across various departments and enables collaboration among healthcare professionals.
Author: Publisher: ISBN: Category : Languages : en Pages : 88
Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Author: Prakash M. Nadkarni Publisher: Springer Science & Business Media ISBN: 0857295101 Category : Medical Languages : en Pages : 411
Book Description
While the use of database technology is ubiquitous throughout IT (and health IT in particular), it is not generally appreciated that, as a database increases in scope, certain designs are far superior to others. In biomedical domains, new knowledge is being generated continually, and the databases that must support areas such as clinical care and research must also be able to evolve while requiring minimal or no logical / physical redesign. Appropriately designed metadata, and software designed to utilize it effectively, can provide significant insulation against change. Many of the larger EMR or clinical research database vendors have realized this, but their designs are proprietary and not described in the literature. Consequently, numerous misconceptions abound among individuals who have not had to work with large-scale biomedical systems, and graduates of a health or bioinformatics program may find that they need to unlearn what they were taught in database and software design classes in order to work productively with such systems. A working knowledge of such systems is also important for individuals who are not primarily software developers, such as health informaticians, medical information officers and data analysts. This book is, in a sense, intended to prepare all of the above individuals for the real world.
Author: Pradeep Kumar Garg Publisher: Springer Nature ISBN: 9811694761 Category : Computers Languages : en Pages : 321
Book Description
The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
Author: Anastasiia Prysyazhnyuk
Author: Jennifer Yeung
Author: Adam Bohr
Author: Michael Mahler
Author: Nilanjan Dey
Author: Zdravko Galić
Author: Kareemullah H
Author: 
Author: Prakash M. Nadkarni
Author: Pradeep Kumar Garg