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Deep Learning in Biology and Medicine Davide Bacciu
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Deep Learning in Biology and Medicine
Davide Bacciu
Biology, medicine and bio-chemistry have become data-centric fields for which Deep Learning methods are delivering ground-breaking 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 science 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, covered in the concluding chapters of this book.
332 pages
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 15 de fevereiro de 2022 |
| ISBN13 | 9781800610934 |
| Editoras | World Scientific Europe Ltd |
| Páginas | 332 |
| Dimensões | 831 × 275 × 27 mm · 3,49 kg (Peso (estimado)) |
| Idioma | Inglês |
| Editor | Bacciu, Davide (University of Pisa, Italy) |
| Editor | Lisboa, Paulo J G (Liverpool John Moores University, UK) |
| Editor | Vellido, Alfredo (Universitat Politecnica de Catalunya, Spain) |
