Deep Learning In Biology And Medicine (Hardcover)

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.

General

Imprint:	World Scientific Europe Ltd
Country of origin:	United Kingdom
Release date:	February 2022
First published:	2022
Editors:	Davide Bacciu • Paulo J.G. Lisboa • Alfredo Vellido
Dimensions:	275 x 27mm (L x H)
Format:	Hardcover
Pages:	332
ISBN-13:	978-1-80061-093-4
Categories:	Books > Medicine > General issues > General Books > Science & Mathematics > Biology, life sciences > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	1-80061-093-9
Barcode:	9781800610934

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