The 2019-2024 World Outlook for Healthcare and Life Science Natural Language Processing
Free Shipping Included! The 2019-2024 World Outlook for Healthcare and Life Science Natural Language Processing by ICON Group International, Inc. at Translate This Website. Hurry! Limited time offer. Offer valid only while supplies last. This study covers the world outlook for healthcare and life science natural language processing across more than 190 countries. For each year
This study covers the world outlook for healthcare and life science natural language processing across more than 190 countries. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region, and of the globe. These comparative benchmarks allow the reader to quickly gauge a country vis-à-vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the countries of the world). This study gives, however, my estimates for the worldwide latent demand, or the P.I.E., for healthcare and life science natural language processing. It also shows how the P.I.E. is divided across the world's regional and national markets. For each country, I also show my estimates of how the P.I.E. grows over time (positive or negative growth). In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on international strategic planning at graduate schools of business.
|Manufacturer:||ICON Group International, Inc.|
|Publisher:||ICON Group International, Inc.|
|Studio:||ICON Group International, Inc.|
|Item Size:||0.64 x 11 x 11 inches|
|Package Weight:||1.81 pounds|
|Package Size:||8.5 x 0.64 x 0.64 inches|
Have questions about this item, or would like to inquire about a custom or bulk order?
If you have any questions about this product by ICON Group International, Inc., contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.
Related Best Sellers
By ICON Group International, Inc.
This study covers the world outlook for language translation software and services across more than 190 countries. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question...
By Oxford University Press
ean: 9780198804406, isbn: 0198804407,
Introduction to Computational Economics Using Fortran is the essential guide to conducting economic research on a computer. Aimed at students of all levels of education as well as advanced economic researchers, it facilitates the first steps into wri...
ean: 9780387096070, isbn: 0387096078,
This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are show...
By World Scientific Pub Co Inc
ean: 9789813144460, isbn: 9813144467,
This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction...
ean: 9781118879368, isbn: 1118879368,
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustrationReaders will learn how to implement a variety of popular data mining al...