Buy Machine Learning in Cardiovascular Medicine 1st Edition PDF ebook by author Subhi Al’Aref; Gurpreet Singh; Lohendran Baskaran – published by Academic Press in 2021 and save up to 80% compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Machine Learning in Cardiovascular Medicine 1st Edition PDF ebook. You can also search for others PDF ebooks from publisher Academic Press, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
eBook Details:
Full title: Machine Learning in Cardiovascular Medicine 1st Edition
Edition: 1st
Copyright year: 2021
Publisher: Academic Press
Author: Subhi Al’Aref; Gurpreet Singh; Lohendran Baskaran
ISBN: 9780128202739, 9783030482022
Format: PDF
Description of Machine Learning in Cardiovascular Medicine 1st Edition:
The aim of this book is to educate and train practitioners in the safe and professional use of diagnostic ultrasound imaging in the visualization and interpretation of various cerebral conditions not only in neurointensive care, but also in the operating room and, in general, cardiothoracic and neurocritical care settings. It is chiefly intended for anaesthetists and intensivists with a basic knowledge of ultrasound physics, but also for neurosurgeons and neurologists. All chapters were coordinated by the Editors, with experiences in hands-on courses on Echography and Doppler of the Brain, and prepared by international experts. The book covers from basic principles to estimation of intracranial pressure and cerebral perfusion. The topics cover emergency department and prehospital brain US as part of POCUS and US multiorgan evaluation to general intensive care, neurointensive care and anesthesia, including special populations as pregnant and children and setting as LMIC. Clinical scenarios complete the book. An innovative and unique guide that equips readers to perform bedside and non-invasive assessments for a range of cerebrovascular diseases.
