Nlp Natural Language Processing In Bioinformatics Healthcare Applications
DOWNLOAD
Download Nlp Natural Language Processing In Bioinformatics Healthcare Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Nlp Natural Language Processing In Bioinformatics Healthcare Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Nlp Natural Language Processing In Bioinformatics Healthcare Applications
DOWNLOAD
Author : Dr. Omar Isam Al Mrayat
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2024-12-31
Nlp Natural Language Processing In Bioinformatics Healthcare Applications written by Dr. Omar Isam Al Mrayat and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Computers categories.
It is possible for healthcare systems to link all of the individuals engaged in healthcare and enhance the quality of treatment they deliver with the assistance of emerging technologies such as blockchain, artificial intelligence, big data, cloud/edge computing, and the internet of things (IoT). There are three primary groups that comprise smart healthcare: the general public, healthcare providers, and other parties participating in the healthcare sector. Smart healthcare is comprised of these three categories. There are many instances of representative smart healthcare scenarios that are important to the participants. Some examples include smart homes, hospitals, healthcare administration, public health, rehabilitation therapy, intelligent life science research and development, and so on. Natural language processing (NLP) is a subfield of artificial intelligence and computer science that emphasises on the automated representation, analysis, and understanding of human language. There has been a meteoric rise in the popularity of natural language processing (NLP) over the last several years, which has piqued the attention of a number of academic organizations. Natural language processing (NLP) is essential to the delivery of intelligent healthcare since human language serves as a universal data input technique for intelligent medical systems. Understanding human language and communicating with people is made possible by natural language processing (NLP). Speaking and writing are both essential components of natural language; the former includes items like dictionaries, essays
Natural Language Processing In Healthcare
DOWNLOAD
Author : Satya Ranjan Dash
language : en
Publisher: CRC Press
Release Date : 2022-09-13
Natural Language Processing In Healthcare written by Satya Ranjan Dash and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-13 with Computers categories.
Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.
Computational Intelligence In Healthcare
DOWNLOAD
Author : Amit Kumar Manocha
language : en
Publisher: Springer Nature
Release Date : 2021-05-11
Computational Intelligence In Healthcare written by Amit Kumar Manocha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-11 with Medical categories.
Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services and applications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.
Multivariate Analysis And Machine Learning Techniques
DOWNLOAD
Author : Srikrishnan Sundararajan
language : en
Publisher: Springer Nature
Release Date : 2025-05-29
Multivariate Analysis And Machine Learning Techniques written by Srikrishnan Sundararajan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a working introduction to programming with Python for data analytics, (b) an overview of statistical techniques – probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) machine learning and deep learning. Many academic textbooks are available for teaching statistical applications using R, SAS, and SPSS. However, there is a dearth of textbooks that provide a comprehensiveintroduction to the emerging and powerful Python ecosystem, which is pervasive in data science and machine learning applications. The book offers a judicious mix of theory and practice, reinforced by over 100 tutorials coded in the Python programming language. The book provides worked-out examples that conceptualize real-world problems using data curated from public domain datasets. It is designed to benefit any data science aspirant, who has a basic (higher secondary school level) understanding of programming and statistics. The book may be used by analytics students for courses on statistics, multivariate analysis, machine learning, deep learning, data mining, and business analytics. It can be also used as a reference book by data analytics professionals.
Parallel And High Performance Computing In Artificial Intelligence
DOWNLOAD
Author : Mukesh Raghuwanshi
language : en
Publisher: CRC Press
Release Date : 2025-05-20
Parallel And High Performance Computing In Artificial Intelligence written by Mukesh Raghuwanshi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence. The book’s two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include: HPC use cases, application programming interfaces (APIs), and applications Parallelization techniques HPC for machine learning Implementation of parallel computing with AI in big data analytics HPC with AI in healthcare systems AI in industrial automation Coverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems. As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book’s discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI.
Making A Difference
DOWNLOAD
Author : Rebecca Meehan
language : en
Publisher: CRC Press
Release Date : 2023-08-31
Making A Difference written by Rebecca Meehan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Business & Economics categories.
Making a Difference: Careers in Health Informatics addresses everyday questions from people interested in working in health informatics. Typically, this includes people who work in health care, computer and technology fields, information science, finance / insurance and related areas. The book aims to tell students about various jobs that exist in the health informatics field, what credentials they need to qualify for those jobs, and a brief description about what people in those roles tend to do every day. As faculty members teaching in a Master of Science in Health Informatics program, the authors say that they are fortunate to have eager, bright, and talented graduate students who are invested in related health informatics areas. This could be their experiences in medicine, nursing, clinical care, software engineering, finance, business, library science, data science, or caregiving. Common questions we hear from our students that may be similar to questions among readers include: ‘what jobs are out there?’, ‘what can I do with this degree?’ or ‘what does a health informatics specialist do?’ This book aims to answer some of these questions with a look into a day in the life of people working in this field. The book examines career options, roles, and skill sets important in health informatics across 6 related industries. We want readers to realize that their skills and interests can apply in many areas of the field, not exclusively hospitals. This book highlights 6 unique work segments (hospital systems, long term care, health IT / consumer health organizations, government, consulting, and payer / insurance companies) into which readers may look to expand their career opportunities. The hope is that this book will provide insight into career opportunities students and professionals may be qualified for, and interested in, but simply not aware of. Hiring managers and human resource professionals across the stakeholder groups across the stakeholder groups may also find the book helpful in learning about other roles that may benefit their organizations.
Computational Intelligence For Medical Internet Of Things Miot Applications
DOWNLOAD
Author : Yassine Maleh
language : en
Publisher: Elsevier
Release Date : 2023-01-25
Computational Intelligence For Medical Internet Of Things Miot Applications written by Yassine Maleh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-25 with Technology & Engineering categories.
Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data. - Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare - Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare - Features new models, practical solutions, prototypes, frameworks and technological advances related to machine intelligence for MIoT applications
Deep Learning In Personalized Healthcare And Decision Support
DOWNLOAD
Author : Harish Garg
language : en
Publisher: Elsevier
Release Date : 2023-07-20
Deep Learning In Personalized Healthcare And Decision Support written by Harish Garg and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-20 with Science categories.
Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. - Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management - Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way - Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies
Humanities 2 0
DOWNLOAD
Author : Preeti Oza
language : en
Publisher: Literatureslight Publishing
Release Date : 2024-07-08
Humanities 2 0 written by Preeti Oza and has been published by Literatureslight Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Technology & Engineering categories.
"Humanities 2.0: The Intersection of Humanities and Technology" examines how technology is changing humanities fields. The book defines and explores "Humanities 2.0," charting the history of the humanities and how technology has changed study, research, and cultural preservation. Philosophies of technology and transdisciplinary approaches to humanities and technology studies are covered. The book covers digital humanities methods like digital archiving, data and text mining, and digital mapping. This book discusses the emergence of digital learning environments and the use of technology in humanities classes. The book also discusses how digital media affects cultural expression and public involvement, as well as the digital divide, data privacy, and algorithmic biases. Dr. Preeti Oza shows how technology may improve humanities research and teaching through case studies and practical implementations, as well as the obstacles and future directions of TechHumanities.
Neutrosophic And Plithogenic Inventory Models For Applied Mathematics
DOWNLOAD
Author : Smarandache, Florentin
language : en
Publisher: IGI Global
Release Date : 2025-05-29
Neutrosophic And Plithogenic Inventory Models For Applied Mathematics written by Smarandache, Florentin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Mathematics categories.
As professionals navigate the evolving landscapes shaped by the advent of artificial intelligence, a critical void emerges in the optimization paradigms of applied mathematics. The dynamism of our interconnected world demands a collective research effort that transcends traditional boundaries. In response to this pressing need, Neutrosophic and Plithogenic Inventory Models for Applied Mathematics proposes a groundbreaking exploration within the frameworks of neutrosophic and plithogenic theories. This work not only seeks to address the profound impact of artificial intelligence on our lives but also aims to redefine the very foundations of optimization. Embark on a profound journey through the unexplored territories of neutrosophic and plithogenic concepts. Discover the transformative potential of neutrosophic set, logic, probability, and statistics, as well as plithogenic set, logic, probability, and statistics. Explore the synergy between artificial intelligence and responsive optimization, and navigate the intricacies of plithogenic cognitive maps. This work further explores the structural designs within neutrosophic optimization, offering an invaluable resource for scholars seeking to incorporate these advanced concepts into static, dynamic, and probabilistic inventory models and their myriad applications.