Deep learning in biology and medicine:
"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 bioinfor...
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo
World Scientific
[2022]
|
Schlagworte: | |
Zusammenfassung: | "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"-- |
Beschreibung: | Includes bibliographical references and index 2110 |
Beschreibung: | xii, 320 Seiten Illustrationen, Diagramme |
ISBN: | 9781800610934 |
Internformat
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245 | 1 | 0 | |a Deep learning in biology and medicine |c editors Davide Bacciu, University of Pisa, Italy, Paulo J. G. Lisboa, Liverpool John Moores University, UK, Alfredo Vellido, Universitat Polytèchnica de Catalunya, Spain |
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520 | 3 | |a "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"-- | |
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Bacciu, Davide Lisboa, Paulo J. G. 1958- Vellido, Alfredo |
author2_role | edt edt edt |
author2_variant | d b db p j g l pjg pjgl a v av |
author_GND | (DE-588)120962128 |
author_facet | Bacciu, Davide Lisboa, Paulo J. G. 1958- Vellido, Alfredo |
building | Verbundindex |
bvnumber | BV048891047 |
classification_rvk | ST 640 |
ctrlnum | (OCoLC)1310404235 (DE-599)KXP1766069118 |
dewey-full | 610.285 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 610 - Medicine and health |
dewey-raw | 610.285 |
dewey-search | 610.285 |
dewey-sort | 3610.285 |
dewey-tens | 610 - Medicine and health |
discipline | Informatik Medizin |
discipline_str_mv | Informatik Medizin |
format | Book |
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id | DE-604.BV048891047 |
illustrated | Illustrated |
index_date | 2024-07-03T21:48:25Z |
indexdate | 2024-07-10T09:49:01Z |
institution | BVB |
isbn | 9781800610934 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034155628 |
oclc_num | 1310404235 |
open_access_boolean | |
owner | DE-1043 |
owner_facet | DE-1043 |
physical | xii, 320 Seiten Illustrationen, Diagramme |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | World Scientific |
record_format | marc |
spelling | Deep learning in biology and medicine editors Davide Bacciu, University of Pisa, Italy, Paulo J. G. Lisboa, Liverpool John Moores University, UK, Alfredo Vellido, Universitat Polytèchnica de Catalunya, Spain New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo World Scientific [2022] xii, 320 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index 2110 "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"-- Medizin (DE-588)4038243-6 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Medical informatics Artificial intelligence / Medical applications Bioinformatics Deep learning (DE-588)1135597375 s Biologie (DE-588)4006851-1 s Medizin (DE-588)4038243-6 s DE-604 Bacciu, Davide edt Lisboa, Paulo J. G. 1958- (DE-588)120962128 edt Vellido, Alfredo edt 9781800610941 (ebook) 9781800610958 (ebook other) |
spellingShingle | Deep learning in biology and medicine Medizin (DE-588)4038243-6 gnd Deep learning (DE-588)1135597375 gnd Biologie (DE-588)4006851-1 gnd |
subject_GND | (DE-588)4038243-6 (DE-588)1135597375 (DE-588)4006851-1 |
title | Deep learning in biology and medicine |
title_auth | Deep learning in biology and medicine |
title_exact_search | Deep learning in biology and medicine |
title_exact_search_txtP | Deep learning in biology and medicine |
title_full | Deep learning in biology and medicine editors Davide Bacciu, University of Pisa, Italy, Paulo J. G. Lisboa, Liverpool John Moores University, UK, Alfredo Vellido, Universitat Polytèchnica de Catalunya, Spain |
title_fullStr | Deep learning in biology and medicine editors Davide Bacciu, University of Pisa, Italy, Paulo J. G. Lisboa, Liverpool John Moores University, UK, Alfredo Vellido, Universitat Polytèchnica de Catalunya, Spain |
title_full_unstemmed | Deep learning in biology and medicine editors Davide Bacciu, University of Pisa, Italy, Paulo J. G. Lisboa, Liverpool John Moores University, UK, Alfredo Vellido, Universitat Polytèchnica de Catalunya, Spain |
title_short | Deep learning in biology and medicine |
title_sort | deep learning in biology and medicine |
topic | Medizin (DE-588)4038243-6 gnd Deep learning (DE-588)1135597375 gnd Biologie (DE-588)4006851-1 gnd |
topic_facet | Medizin Deep learning Biologie |
work_keys_str_mv | AT bacciudavide deeplearninginbiologyandmedicine AT lisboapaulojg deeplearninginbiologyandmedicine AT vellidoalfredo deeplearninginbiologyandmedicine |