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Big Data For Big Pharma
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Book Synopsis Big Data for Big Pharma by : Malena Johannes
Download or read book Big Data for Big Pharma written by Malena Johannes and published by ibidem-Verlag / ibidem Press. This book was released on 2016-06-16 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Raising costs, ever-increasing regulatory hurdles, and mounting difficulties in finding the next blockbuster drug are just a few of the challenges Big Pharma currently has to face for its research and development process, the heart of its risky business. Big Data claims to be full of insights that Big Pharma need to find a way of harvesting, which could lead to new compounds. Academics, Big Data start-ups, and pharmaceutical companies have focused their research efforts on analytic tools and data technologies to store, collect, analyse, and extract these insights from massive data sets. However, the key question is whether the Big Data hype really does have the claimed accelerating effect on the complex research and development process or if it actually creates another hurdle for Big Pharma innovation. Malena Johannes' timely book sheds light on this question by examining the top 5 pharmaceutical companies and provides an overview on the status quo of Big Data applications within the pharmaceutical industry.
Download or read book Sickening written by John Abramson and published by HarperCollins. This book was released on 2022-02-08 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inside story of how Big Pharma’s relentless pursuit of ever-higher profits corrupts medical knowledge—misleading doctors, misdirecting American health care, and harming our health. The United States spends an excess $1.5 trillion annually on health care compared to other wealthy countries—yet the amount of time that Americans live in good health ranks a lowly 68th in the world. At the heart of the problem is Big Pharma, which funds most clinical trials and therefore controls the research agenda, withholds the real data from those trials as corporate secrets, and shapes most of the information relied upon by health care professionals. In this no-holds-barred exposé, Dr. John Abramson—one of the foremost experts on the drug industry’s deceptive tactics—combines patient stories with what he learned during many years of serving as an expert in national drug litigation to reveal the tangled web of financial interests at the heart of the dysfunction in our health-care system. For example, one of pharma’s best-kept secrets is that the peer reviewers charged with ensuring the accuracy and completeness of the clinical trial reports published in medical journals do not even have access to complete data and must rely on manufacturer-influenced summaries. Likewise for the experts who write the clinical practice guidelines that define our standards of care. The result of years of research and privileged access to the inner workings of the U.S. medical-industrial complex, Sickening shines a light on the dark underbelly of American health care—and presents a path toward genuine reform.
Download or read book Big Pharma written by Jacky Law and published by Robinson. This book was released on 2006 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pharmaceutical medicine is very, very big business. The top ten players earned more than $200 billion in 2003. One drug, Pfizer's cholesterol pill Lipitor, had sales of more than $9 billion. This kind of money buys an awful lot of friends among doctors and politicians. Most of those involved in the formulation of public health policy seems happy with the present system. The trouble is that the public is starting to have doubts. There is a growing sense that the vast profits of drug companies and their control of the research agenda might not be that good for our health. Jacky Law takes the reader on a journey through the pharmaceutical business and shows how the public is quite right to be concerned about conventional medicine, as it has developed since the late 1970s. She tells a story of spectacular regulatory failure, phenomenally high prices, betrayal of the public interest and a growing awareness among ordinary people that things could be very different. Sophisticated marketing and public relations, not scientific excellence, have helped corporations to preside unchallenged over matters of life and death. It is time, Law argues, for us to take responsibility for our health, not as passive consumers of pharmaceutical medicine, but as informed citizens.
Download or read book Bad Pharma written by Ben Goldacre and published by Macmillan. This book was released on 2014-04 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argues that doctors are deliberately misinformed by profit-seeking pharmaceutical companies that casually withhold information about drug efficacy and side effects, explaining the process of pharmaceutical data manipulation and its global consequences. By the best-selling author of Bad Science.
Book Synopsis Big Pharma, Big Greed: The Inside Story of One Lawyer's Battle to Stem the Flood of Dangerous Medicines and Protect Public Health by : Sidney Kirkpatrick
Download or read book Big Pharma, Big Greed: The Inside Story of One Lawyer's Battle to Stem the Flood of Dangerous Medicines and Protect Public Health written by Sidney Kirkpatrick and published by . This book was released on 2019-02-11 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deadly Medicines and Organised Crime by : Peter Gotzsche
Download or read book Deadly Medicines and Organised Crime written by Peter Gotzsche and published by CRC Press. This book was released on 2019-08-21 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: PRESCRIPTION DRUGS ARE THE THIRD LEADING CAUSE OF DEATH AFTER HEART DISEASE AND CANCER. In his latest ground-breaking book, Peter C Gotzsche exposes the pharmaceutical industries and their charade of fraudulent behaviour, both in research and marketing where the morally repugnant disregard for human lives is the norm. He convincingly draws close co
Book Synopsis Big Data, Big Challenges: A Healthcare Perspective by : Mowafa Househ
Download or read book Big Data, Big Challenges: A Healthcare Perspective written by Mowafa Househ and published by Springer. This book was released on 2019-02-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1466698411 Total Pages :2478 pages Book Rating :4.4/5 (666 download)
Book Synopsis Big Data: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Big Data: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-04-20 with total page 2478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
Book Synopsis Who’s watching? Surveillance, big data and applied ethics in the digital age by : Adrian Walsh
Download or read book Who’s watching? Surveillance, big data and applied ethics in the digital age written by Adrian Walsh and published by Emerald Group Publishing. This book was released on 2022-07-12 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who’s watching? Surveillance, big data and applied ethics in the digital age critically examines the ethical use of surveillance data through the lens of large institutions, including corporations or government agencies, particularly including the collection and use of big data sets.
Book Synopsis Big Data Analytics in Healthcare by : Anand J. Kulkarni
Download or read book Big Data Analytics in Healthcare written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2019-10-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.
Book Synopsis Healthcare and Big Data by : Mary F.E. Ebeling
Download or read book Healthcare and Big Data written by Mary F.E. Ebeling and published by Springer. This book was released on 2016-09-27 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly original book is an ethnographic noir of how Big Data profits from patient private health information. The book follows personal health data as it is collected from inside healthcare and beyond to create patient consumer profiles that are sold to marketers. Primarily told through a first-person noir narrative, Ebeling as a sociologist-hard-boiled-detective, investigates Big Data and the trade in private health information by examining the information networks that patient data traverses. The noir narrative reveals the processes that the data broker industry uses to create data commodities—data phantoms or the marketing profiles of patients that are bought by advertisers to directly market to consumers. Healthcare and Big Data considers the implications these “data phantoms” have for patient privacy as well as the very real harm that they can cause.
Book Synopsis Healthcare and Big Data Management by : Bairong Shen
Download or read book Healthcare and Big Data Management written by Bairong Shen and published by Springer. This book was released on 2017-10-20 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare; physiological and gut microbiota – data collection and analysis; big data standardization and ontology; and personal data privacy and systems level modeling in the healthcare context. The book offers a valuable resource for biomedical informaticians, clinicians, health practitioners and researchers alike.
Book Synopsis Big Data in Healthcare by : Pouria Amirian
Download or read book Big Data in Healthcare written by Pouria Amirian and published by Springer. This book was released on 2017-09-18 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy.
Book Synopsis Big Data Analytics for Healthcare by : Pantea Keikhosrokiani
Download or read book Big Data Analytics for Healthcare written by Pantea Keikhosrokiani and published by Academic Press. This book was released on 2022-05-19 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Practical Big Data Analytics by : Nataraj Dasgupta
Download or read book Practical Big Data Analytics written by Nataraj Dasgupta and published by Packt Publishing Ltd. This book was released on 2018-01-15 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. What you will learn - Get a 360-degree view into the world of Big Data, data science and machine learning - Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives - Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R - Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions - Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications - Understand corporate strategies for successful Big Data and data science projects - Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies Who this book is for The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience.
Book Synopsis Analytics and Big Data: The Davenport Collection (6 Items) by : Thomas H. Davenport
Download or read book Analytics and Big Data: The Davenport Collection (6 Items) written by Thomas H. Davenport and published by Harvard Business Review Press. This book was released on 2014-08-12 with total page 961 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.
Book Synopsis Big Data Analytics in Bioinformatics and Healthcare by : Wang, Baoying
Download or read book Big Data Analytics in Bioinformatics and Healthcare written by Wang, Baoying and published by IGI Global. This book was released on 2014-10-31 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.
