Theories, Predictions, and Diagnoses - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Theories, Predictions, and Diagnoses write by Malcolm Gladwell. This book was released on 2009-10-20. Theories, Predictions, and Diagnoses available in PDF, EPUB and Kindle. !--StartFragment--What is the difference between choking and panicking? Why are there dozens of varieties of mustard-but only one variety of ketchup? What do football players teach us about how to hire teachers? What does hair dye tell us about the history of the 20th century? In the past decade, Malcolm Gladwell has written three books that have radically changed how we understand our world and ourselves: The Tipping Point; Blink; and Outliers. Now, in What the Dog Saw, he brings together, for the first time, the best of his writing from The New Yorker over the same period. Here is the bittersweet tale of the inventor of the birth control pill, and the dazzling inventions of the pasta sauce pioneer Howard Moscowitz. Gladwell sits with Ron Popeil, the king of the American kitchen, as he sells rotisserie ovens, and divines the secrets of Cesar Millan, the "dog whisperer" who can calm savage animals with the touch of his hand. He explores intelligence tests and ethnic profiling and "hindsight bias" and why it was that everyone in Silicon Valley once tripped over themselves to hire the same college graduate. "Good writing," Gladwell says in his preface, "does not succeed or fail on the strength of its ability to persuade. It succeeds or fails on the strength of its ability to engage you, to make you think, to give you a glimpse into someone else's head." What the Dog Saw is yet another example of the buoyant spirit and unflagging curiosity that have made Malcolm Gladwell our most brilliant investigator of the hidden extraordinary. !--EndFragment--
Diagnosis and Prediction
Diagnosis and Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Diagnosis and Prediction write by Seymour Geisser. This book was released on 2012-12-06. Diagnosis and Prediction available in PDF, EPUB and Kindle. A collection of refereed papers from a six-week workshop on statistics in the health sciences, that brought together theoretical and applied statisticians from universities, medical and public health schools, government and private research institutions, and pharmaceutical companies involved in prediction problems in the life and social sciences and in diagnostic and screening tests. A number of papers with applications were presented and particularly lively discussions ensued involving the critical issues and difficulties in using and interpreting diagnostic tests and implementing mass screening programs. The prediction or controlling future events, such as survival, comparative survival and survival post intervention for a disease or even for certain biological or natural events was also represented by participants who presented work that devised predictive methodology for a variety of problems mainly from a Bayesian perspective.
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data write by Siddhartha Bhattacharyya. This book was released on 2021-11-22. Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data available in PDF, EPUB and Kindle. Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning write by Rani, Geeta. This book was released on 2020-10-16. Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning available in PDF, EPUB and Kindle. By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery
Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery write by Yaguo Lei. This book was released on 2016-11-02. Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery available in PDF, EPUB and Kindle. Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis and RUL prediction based on the current achievements of the author's research group. The main contents include multi-domain signal processing and feature extraction, intelligent diagnosis models, clustering algorithms, hybrid intelligent diagnosis strategies, and RUL prediction approaches, etc. This book presents fundamental theories and advanced methods of identifying the occurrence, locations, and degrees of faults, and also includes information on how to predict the RUL of rotating machinery. Besides experimental demonstrations, many application cases are presented and illustrated to test the methods mentioned in the book. This valuable reference provides an essential guide on machinery fault diagnosis that helps readers understand basic concepts and fundamental theories. Academic researchers with mechanical engineering or computer science backgrounds, and engineers or practitioners who are in charge of machine safety, operation, and maintenance will find this book very useful. Provides a detailed background and roadmap of intelligent diagnosis and RUL prediction of rotating machinery, involving fault mechanisms, vibration characteristics, health indicators, and diagnosis and prognostics Presents basic theories, advanced methods, and the latest contributions in the field of intelligent fault diagnosis and RUL prediction Includes numerous application cases, and the methods, algorithms, and models introduced in the book are demonstrated by industrial experiences
