logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Deep Learning In Biology And Medicine Davide Bacciu Paulo J G Lisboa

  • SKU: BELL-44899934
Deep Learning In Biology And Medicine Davide Bacciu Paulo J G Lisboa
$ 31.00 $ 45.00 (-31%)

4.7

76 reviews

Deep Learning In Biology And Medicine Davide Bacciu Paulo J G Lisboa instant download after payment.

Publisher: World Scientific Publishing Europe Limited
File Extension: PDF
File size: 18.18 MB
Pages: 333
Author: Davide Bacciu, Paulo J. G. Lisboa, Alfredo Vellido
ISBN: 9781800610934, 1800610939
Language: English
Year: 2022

Product desciption

Deep Learning In Biology And Medicine Davide Bacciu Paulo J G Lisboa by Davide Bacciu, Paulo J. G. Lisboa, Alfredo Vellido 9781800610934, 1800610939 instant download after payment.

Biology, medicine and biochemistry have become data-centric fields for which Deep Learning methods are delivering groundbreaking results. Addressing high impact challenges, Deep Learning in Biology and Medicine provides an accessible and organic collection of Deep Learning essays on bioinformatics and medicine. It caters for a wide readership, ranging from machine learning practitioners and data scientists seeking methodological knowledge to address biomedical applications, to life science specialists in search of a gentle reference for advanced data analytics.With contributions from internationally renowned experts, the book covers foundational methodologies in a wide spectrum of life sciences applications, including electronic health record processing, diagnostic imaging, text processing, as well as omics-data processing. This survey of consolidated problems is complemented by a selection of advanced applications, including cheminformatics and biomedical interaction network analysis. A modern and mindful approach to the use of data-driven methodologies in the life sciences also requires careful consideration of the associated societal, ethical, legal and transparency challenges, which are covered in the concluding chapters of this book.

Related Products