TY  - DATA
AU  - Bacciu, Davide.
AU  - Lisboa, P. J. G.
AU  - Vellido, Alfredo.
TI  - Deep learning in biology and medicine
SN  - 9781800610941
U1  - 610.285 23
PY  - 2022///
CY  - New Jersey
PB  - World Scientific
KW  - Medical informatics
KW  - Artificial intelligence
KW  - Medical applications
KW  - Bioinformatics
KW  - Electronic books
N1  - Includes bibliographical references and index; Introduction -- Deep learning for medical imaging -- The evolution of mining electronic health records in the era of deep learning -- Natural language technologies in the biomedical domain -- Metabolically driven latent space learning for gene expression data -- Deep learning in cheminformatics -- Deep learning methods for network biology -- The need for interpretable and explainable deep learning in medicine and healthcare -- Ethical, societal and legal issues in deep learning for healthcare
N2  - "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"--
UR  - https://www.worldscientific.com/worldscibooks/10.1142/q0322#t=toc
ER  -