Data Science For Effective Healthcare Systems

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Data Science for Effective Healthcare Systems

Hari Singh,Ravindara Bhatt,Prateek Thakral,Dinesh Chander Verma
Data Science for Effective Healthcare Systems Book PDF

Author : Hari Singh,Ravindara Bhatt,Prateek Thakral,Dinesh Chander Verma
Publisher : CRC Press
Page : 225 pages
File Size : 40,6 Mb
Release : 2022-07-29
Category : Computers
ISBN : 9781000618839

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Data Science for Effective Healthcare Systems by Hari Singh,Ravindara Bhatt,Prateek Thakral,Dinesh Chander Verma Pdf

Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H.
Handbook of Research on Data Science for Effective Healthcare Practice and Administration Book PDF

Author : Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H.
Publisher : IGI Global
Page : 545 pages
File Size : 43,6 Mb
Release : 2017-07-20
Category : Computers
ISBN : 9781522525165

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Handbook of Research on Data Science for Effective Healthcare Practice and Administration by Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H. Pdf

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Data Science for Healthcare

Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Data Science for Healthcare Book PDF

Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Page : 367 pages
File Size : 41,8 Mb
Release : 2019-02-23
Category : Computers
ISBN : 9783030052492

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Data Science for Healthcare by Sergio Consoli,Diego Reforgiato Recupero,Milan Petković Pdf

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Elham Akhond Zadeh Noughabi,Bijan Raahemi,Amir Albadvi,Behrouz H. Far
Handbook of Research on Data Science for Effective Healthcare Practice and Administration Book PDF

Author : Elham Akhond Zadeh Noughabi,Bijan Raahemi,Amir Albadvi,Behrouz H. Far
Publisher : Medical Information Science Reference
Page : 0 pages
File Size : 46,5 Mb
Release : 2017
Category : Computers
ISBN : 1522525173

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Handbook of Research on Data Science for Effective Healthcare Practice and Administration by Elham Akhond Zadeh Noughabi,Bijan Raahemi,Amir Albadvi,Behrouz H. Far Pdf

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Semantic Web for Effective Healthcare Systems

Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Abha Jain
Semantic Web for Effective Healthcare Systems Book PDF

Author : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Abha Jain
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 51,8 Mb
Release : 2021-11-12
Category : Computers
ISBN : 9781119764151

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Semantic Web for Effective Healthcare Systems by Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Abha Jain Pdf

SEMANTIC WEB FOR EFFECTIVE HEALTHCARE SYSTEMS The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions Semantic Web technologies have the opportunity to transform the way healthcare providers utilize technology to gain insights and knowledge from their data and make treatment decisions. Both Big Data and Semantic Web technologies can complement each other to address the challenges and add intelligence to healthcare management systems. The aim of this book is to analyze the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data. This innovative book offers: The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems; Presents a comprehensive examination of the emerging research in areas of the semantic web; Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis; Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields; Includes coverage of key application areas of the semantic web. Audience: Researchers and graduate students in computer science, biomedical engineering, electronic and software engineering, as well as industry scientific researchers, clinicians, and systems managers in biomedical fields.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Artificial Intelligence and Big Data Analytics for Smart Healthcare Book PDF

Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publisher : Academic Press
Page : 292 pages
File Size : 54,6 Mb
Release : 2021-10-22
Category : Medical
ISBN : 9780128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare by Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui Pdf

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Big Data Analytics for Healthcare

Pantea Keikhosrokiani
Big Data Analytics for Healthcare Book PDF

Author : Pantea Keikhosrokiani
Publisher : Academic Press
Page : 356 pages
File Size : 53,5 Mb
Release : 2022-05-19
Category : Medical
ISBN : 9780323985161

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Big Data Analytics for Healthcare by Pantea Keikhosrokiani Pdf

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems

Data Science and Medical Informatics in Healthcare Technologies

Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu
Data Science and Medical Informatics in Healthcare Technologies Book PDF

Author : Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu
Publisher : Springer Nature
Page : 91 pages
File Size : 52,5 Mb
Release : 2021-06-19
Category : Technology & Engineering
ISBN : 9789811630293

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Data Science and Medical Informatics in Healthcare Technologies by Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu Pdf

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.

Exploratory Data Analytics for Healthcare

R. Lakshmana Kumar,R. Indrakumari,B. Balamurugan,Achyut Shankar
Exploratory Data Analytics for Healthcare Book PDF

Author : R. Lakshmana Kumar,R. Indrakumari,B. Balamurugan,Achyut Shankar
Publisher : CRC Press
Page : 327 pages
File Size : 46,7 Mb
Release : 2021-12-24
Category : Computers
ISBN : 9781000527056

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Exploratory Data Analytics for Healthcare by R. Lakshmana Kumar,R. Indrakumari,B. Balamurugan,Achyut Shankar Pdf

Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain.

Healthcare Data Analytics and Management

Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt
Healthcare Data Analytics and Management Book PDF

Author : Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt
Publisher : Academic Press
Page : 340 pages
File Size : 50,9 Mb
Release : 2018-11-15
Category : Science
ISBN : 9780128156360

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Healthcare Data Analytics and Management by Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt Pdf

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. Covers data analysis, management and security concepts and tools in the healthcare domain Highlights electronic medical health records and patient information records Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining Includes multidisciplinary contributions in relation to healthcare applications and challenges

Smart Healthcare Systems

Adwitiya Sinha,Megha Rathi
Smart Healthcare Systems Book PDF

Author : Adwitiya Sinha,Megha Rathi
Publisher : CRC Press
Page : 332 pages
File Size : 41,6 Mb
Release : 2019-07-24
Category : Computers
ISBN : 9780429670282

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Smart Healthcare Systems by Adwitiya Sinha,Megha Rathi Pdf

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra
Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Book PDF

Author : Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 47,6 Mb
Release : 2022-06-28
Category : Computers
ISBN : 9781119791737

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics by Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra Pdf

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Knowledge Modelling and Big Data Analytics in Healthcare

Mayuri Mehta,Kalpdrum Passi,Indranath Chatterjee,Rajan Patel
Knowledge Modelling and Big Data Analytics in Healthcare Book PDF

Author : Mayuri Mehta,Kalpdrum Passi,Indranath Chatterjee,Rajan Patel
Publisher : CRC Press
Page : 362 pages
File Size : 40,8 Mb
Release : 2021-12-09
Category : Computers
ISBN : 9781000477764

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Knowledge Modelling and Big Data Analytics in Healthcare by Mayuri Mehta,Kalpdrum Passi,Indranath Chatterjee,Rajan Patel Pdf

Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.

Innovation in Health Informatics

Miltiadis Lytras,Akila Sarirete
Innovation in Health Informatics Book PDF

Author : Miltiadis Lytras,Akila Sarirete
Publisher : Academic Press
Page : 441 pages
File Size : 51,7 Mb
Release : 2019-11-13
Category : Medical
ISBN : 9780128190449

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Innovation in Health Informatics by Miltiadis Lytras,Akila Sarirete Pdf

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies Presents a case study driven approach, with references to real-world applications and systems Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

Healthcare Analytics Made Simple

Vikas (Vik) Kumar
Healthcare Analytics Made Simple Book PDF

Author : Vikas (Vik) Kumar
Publisher : Packt Publishing Ltd
Page : 258 pages
File Size : 54,7 Mb
Release : 2018-07-31
Category : Computers
ISBN : 9781787283220

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Healthcare Analytics Made Simple by Vikas (Vik) Kumar Pdf

Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book Description In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. What you will learn Gain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling with structured clinical data See what lies ahead for healthcare analytics Who this book is for Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.