Expert System Techniques in Biomedical Science Practice

Expert System Techniques in Biomedical Science Practice PDF Author: Pattnaik, Prasant Kumar
Publisher: IGI Global
ISBN: 1522551506
Category : Technology & Engineering
Languages : en
Pages : 304

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Book Description
Before the integration of expert systems in biomedical science, complex problems required human expertise to solve them through conventional procedural methods. Advancements in expert systems allow for knowledge to be extracted when no human expertise is available and increases productivity through quick diagnosis. Expert System Techniques in Biomedical Science Practice is an essential scholarly resource that contains innovative research on the methods by which an expert system is designed to solve complex problems through the automation of decision making through the use of if-then-else rules rather than conventional procedural methods. Featuring coverage on a broad range of topics such as image processing, bio-signals, and cognitive AI, this book is a vital reference source for computer engineers, information technologists, biomedical engineers, data-processing specialists, medical professionals, and industrialists within the fields of biomedical engineering, pervasive computing, and natural language processing.

Expert System Techniques in Biomedical Science Practice

Expert System Techniques in Biomedical Science Practice PDF Author: Pattnaik, Prasant Kumar
Publisher: IGI Global
ISBN: 1522551506
Category : Technology & Engineering
Languages : en
Pages : 304

Get Book Here

Book Description
Before the integration of expert systems in biomedical science, complex problems required human expertise to solve them through conventional procedural methods. Advancements in expert systems allow for knowledge to be extracted when no human expertise is available and increases productivity through quick diagnosis. Expert System Techniques in Biomedical Science Practice is an essential scholarly resource that contains innovative research on the methods by which an expert system is designed to solve complex problems through the automation of decision making through the use of if-then-else rules rather than conventional procedural methods. Featuring coverage on a broad range of topics such as image processing, bio-signals, and cognitive AI, this book is a vital reference source for computer engineers, information technologists, biomedical engineers, data-processing specialists, medical professionals, and industrialists within the fields of biomedical engineering, pervasive computing, and natural language processing.

Computational Models for Biomedical Reasoning and Problem Solving

Computational Models for Biomedical Reasoning and Problem Solving PDF Author: Chen, Chung-Hao
Publisher: IGI Global
ISBN: 1522574689
Category : Computers
Languages : en
Pages : 370

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Book Description
The results of computational model simulations allow researchers and clinicians to make predictions about what will happen in the biological systems that are being studied in response to changing conditions for a disease or disorder. With a well-developed computational model, researchers and clinicians can better understand the cause of a disease or a disorder and predict treatment results. Computational Models for Biomedical Reasoning and Problem Solving is a critical scholarly publication that provides insightful strategies to developing computational models that allow for the better understanding and treatment of various diseases and disorders. Featuring topics such as biomedicine, neuroscience, and artificial intelligence, this book is ideal for practitioners, clinicians, researchers, psychologists, and engineers.

Expert System Techniques in Biomedical Science Practice

Expert System Techniques in Biomedical Science Practice PDF Author: Prasant Kumar Pattnaik
Publisher: IGI Global, Medical Information Science Reference
ISBN: 9781522551515
Category : Computers
Languages : en
Pages : 0

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Book Description
Before the integration of expert systems in biomedical science, complex problems required human expertise to solve them through conventional procedural methods. Advancements in expert systems allow for knowledge to be extracted when no human expertise is available and increases productivity through quick diagnosis. Expert System Techniques in Biomedical Science Practice is an essential scholarly resource that contains innovative research on the methods by which an expert system is designed to solve complex problems through the automation of decision making through the use of if-then-else rules rather than conventional procedural methods. Featuring coverage on a broad range of topics such as image processing, bio-signals, and cognitive AI, this book is a vital reference source for computer engineers, information technologists, biomedical engineers, data-processing specialists, medical professionals, and industrialists within the fields of biomedical engineering, pervasive computing, and natural language processing.

Deep Neural Networks for Multimodal Imaging and Biomedical Applications

Deep Neural Networks for Multimodal Imaging and Biomedical Applications PDF Author: Suresh, Annamalai
Publisher: IGI Global
ISBN: 1799835928
Category : Computers
Languages : en
Pages : 294

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Book Description
The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.

Biomedical and Clinical Engineering for Healthcare Advancement

Biomedical and Clinical Engineering for Healthcare Advancement PDF Author: Sriraam, N.
Publisher: IGI Global
ISBN: 1799803279
Category : Medical
Languages : en
Pages : 292

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Book Description
The rapid development of new technologies has created a lasting impact in the healthcare sector during the past decades. Due to this influence, potential clinical problems have decreased while the quality of healthcare delivery and overall user friendliness has increased and contributed to cost-effective healthcare systems. Biomedical and Clinical Engineering for Healthcare Advancement is an essential reference source that discusses growth in healthcare applications driven by the adoption of new technologies, as well as the expansion of machine learning algorithms for clinical decision making. It focuses on combining vision, motion, data acquisition, and automated control to accelerate the development of affordable and portable medical devices. Featuring research on topics such as artificial intelligence, drug delivery, and retinal imaging, this book is ideally designed for healthcare professionals, biomedical engineers, biomedical professionals, clinicians, hospital directors, physicians, medical students, and clinical researchers.

Multidisciplinary Approaches to the Discourses of Extremism

Multidisciplinary Approaches to the Discourses of Extremism PDF Author: Katie Jane Patterson
Publisher: Taylor & Francis
ISBN: 1040052231
Category : Language Arts & Disciplines
Languages : en
Pages : 257

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Book Description
This collection highlights multidisciplinary approaches toward better understanding the discourses of extremism, exploring the ways in which insights from linguistics and other disciplines might inform each other in enacting meaningful reforms in policy, social media, and education. The volume is divided into three sections, bridging different disciplinary perspectives in examining different dimensions of the language of extremism in case studies from around the world. The first section features contributions on extremist language from a political lens, such as in election campaigns and media discourse. The second section looks at religious extremism and language used for the purposes of jihadist radicalisation and recruitment. A final section reflects on policy development, peace education, and conflict resolution, toward discussing ways to subvert radicalised discourses and future research building on these efforts. This book will be of interest to students and scholars in discourse analysis, language and communication, and language education, as well as related fields such as psychology, political science, and sociology.

Examining the Causal Relationship Between Genes, Epigenetics, and Human Health

Examining the Causal Relationship Between Genes, Epigenetics, and Human Health PDF Author: Wambuguh, Oscar J.
Publisher: IGI Global
ISBN: 1522580670
Category : Medical
Languages : en
Pages : 615

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Book Description
For as much as we know about DNA and gene expression, many more mysteries remain to be solved. Epigenetics and epigenomics seek to study heritable modifications in gene expression that do not involve underlying DNA sequences to further human health changes. Examining the Causal Relationship Between Genes, Epigenetics, and Human Health provides innovative research methods and applications of chemical activation or deactivation of genes without altering the original DNA sequence. While highlighting topics including gene expression, personalized medicine, and public policy, this book is ideal for researchers, geneticists, biologists, medical professionals, students, and academics seeking current research on the expanding fields of genomics, epigenomics, proteomics, pharmacogenomics, and genome-wide association studies.

Computational Techniques for Dental Image Analysis

Computational Techniques for Dental Image Analysis PDF Author: Kamalanand, K.
Publisher: IGI Global
ISBN: 1522562443
Category : Medical
Languages : en
Pages : 358

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Book Description
With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries. Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Disruptive Technology: Concepts, Methodologies, Tools, and Applications

Disruptive Technology: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522592741
Category : Business & Economics
Languages : en
Pages : 2227

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Book Description
The proliferation of entrepreneurship, technological and business innovations, emerging social trends and lifestyles, employment patterns, and other developments in the global context involve creative destruction that transcends geographic and political boundaries and economic sectors and industries. This creates a need for an interdisciplinary exploration of disruptive technologies, their impacts, and their implications for various stakeholders widely ranging from government agencies to major corporations to consumer groups and individuals. Disruptive Technology: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines innovation, imitation, and creative destruction as critical factors and agents of socio-economic growth and progress in the context of emerging challenges and opportunities for business development and strategic advantage. Highlighting a range of topics such as IT innovation, business strategy, and sustainability, this multi-volume book is ideally designed for entrepreneurs, business executives, business professionals, academicians, and researchers interested in strategic decision making using innovations and competitiveness.

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms PDF Author: Milutinovi?, Veljko
Publisher: IGI Global
ISBN: 1799883523
Category : Computers
Languages : en
Pages : 296

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Book Description
Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.