schliessen

Filtern

 

Bibliotheken

A guide to deep learning in healthcare

Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how t... Full description

Journal Title: Nature medicine 2019-01, Vol.25 (1), p.24-29
Main Author: Esteva, Andre
Other Authors: Robicquet, Alexandre , Ramsundar, Bharath , Kuleshov, Volodymyr , DePristo, Mark , Chou, Katherine , Cui, Claire , Corrado, Greg , Thrun, Sebastian , Dean, Jeff
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: United States: Nature Publishing Group
ID: ISSN: 1078-8956
Link: https://www.ncbi.nlm.nih.gov/pubmed/30617335
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: cdi_proquest_miscellaneous_2165099114
title: A guide to deep learning in healthcare
format: Article
creator:
  • Esteva, Andre
  • Robicquet, Alexandre
  • Ramsundar, Bharath
  • Kuleshov, Volodymyr
  • DePristo, Mark
  • Chou, Katherine
  • Cui, Claire
  • Corrado, Greg
  • Thrun, Sebastian
  • Dean, Jeff
subjects:
  • Computer applications
  • Computer vision
  • Computer-aided medical diagnosis
  • Computer-assisted surgery
  • Data processing
  • Deep Learning
  • Delivery of Health Care
  • Diagnostic Imaging
  • Domains
  • Electronic Health Records
  • Electronic medical records
  • Forecasts and trends
  • Genetic research
  • Genomics
  • Health aspects
  • Health care
  • Humans
  • Language
  • Machine learning
  • Medical imaging
  • Natural Language Processing
  • Robotic surgery
  • Surgery
  • Usage
ispartof: Nature medicine, 2019-01, Vol.25 (1), p.24-29
description: Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to domains such as electronic health record data. Similarly, reinforcement learning is discussed in the context of robotic-assisted surgery, and generalized deep-learning methods for genomics are reviewed.
language: eng
source:
identifier: ISSN: 1078-8956
fulltext: no_fulltext
issn:
  • 1078-8956
  • 1546-170X
url: Link


@attributes
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
RANK2.9031043
LOCALfalse
PrimoNMBib
record
control
sourceidgale_proqu
recordidTN_cdi_proquest_miscellaneous_2165099114
sourceformatXML
sourcesystemPC
galeidA573404411
sourcerecordidA573404411
originalsourceidFETCH-LOGICAL-c478t-5525066e628b5b0cbf7a34a5aba318948e45b6cebff13ac49a641340a76de8500
addsrcrecordideNp9kl1rFDEUhoMotlZ_gDcyIIheTD1n8zmXS7FaKBT8wruQyZzZpszOrEkGtL--WVatW0rJRUJ4znPei5exlwjHCNy8TwJlgzWgqYGjqq8fsUOUQtWo4cfj8gZtatNIdcCepXQFABxk85QdcFCoOZeH7M2yWs2hoypPVUe0qQZycQzjqgpjdUluyJfeRXrOnvRuSPTiz33Evp1--HryqT6_-Hh2sjyvvdAm11IuJChFamFa2YJve-24cNK1jqNphCEhW-Wp7XvkzovGKYFcgNOqIyMBjtjbnXcTp58zpWzXIXkaBjfSNCe7QCWhaRBFQV_fQa-mOY4l3ZYSkmu9gFtq5QayYeynHJ3fSu1S6rJaCMRCHd9DldPROvhppD6U_72BV_cM2P-Bd3tAkWT6lVduTsmeffm8L3uIvfi-z-KO9XFKKVJvNzGsXfxtEey2FHZXCltKYbelsNe3YTdzu6bu38TfFhRA35H6kF0OJUd0YXhAfQOLvbv9
sourcetypeAggregation Database
isCDItrue
recordtypearticle
pqid2164537720
display
typearticle
titleA guide to deep learning in healthcare
creatorEsteva, Andre ; Robicquet, Alexandre ; Ramsundar, Bharath ; Kuleshov, Volodymyr ; DePristo, Mark ; Chou, Katherine ; Cui, Claire ; Corrado, Greg ; Thrun, Sebastian ; Dean, Jeff
creatorcontribEsteva, Andre ; Robicquet, Alexandre ; Ramsundar, Bharath ; Kuleshov, Volodymyr ; DePristo, Mark ; Chou, Katherine ; Cui, Claire ; Corrado, Greg ; Thrun, Sebastian ; Dean, Jeff
descriptionHere we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to domains such as electronic health record data. Similarly, reinforcement learning is discussed in the context of robotic-assisted surgery, and generalized deep-learning methods for genomics are reviewed.
identifier
0ISSN: 1078-8956
1EISSN: 1546-170X
2DOI: 10.1038/s41591-018-0316-z
3PMID: 30617335
languageeng
publisherUnited States: Nature Publishing Group
subjectComputer applications ; Computer vision ; Computer-aided medical diagnosis ; Computer-assisted surgery ; Data processing ; Deep Learning ; Delivery of Health Care ; Diagnostic Imaging ; Domains ; Electronic Health Records ; Electronic medical records ; Forecasts and trends ; Genetic research ; Genomics ; Health aspects ; Health care ; Humans ; Language ; Machine learning ; Medical imaging ; Natural Language Processing ; Robotic surgery ; Surgery ; Usage
ispartofNature medicine, 2019-01, Vol.25 (1), p.24-29
rights
0COPYRIGHT 2019 Nature Publishing Group
1Copyright Nature Publishing Group Jan 2019
lds50peer_reviewed
citedbyFETCH-LOGICAL-c478t-5525066e628b5b0cbf7a34a5aba318948e45b6cebff13ac49a641340a76de8500
citesFETCH-LOGICAL-c478t-5525066e628b5b0cbf7a34a5aba318948e45b6cebff13ac49a641340a76de8500
links
openurl$$Topenurl_article
thumbnail$$Usyndetics_thumb_exl
backlink$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30617335$$D View this record in MEDLINE/PubMed
search
creatorcontrib
0Esteva, Andre
1Robicquet, Alexandre
2Ramsundar, Bharath
3Kuleshov, Volodymyr
4DePristo, Mark
5Chou, Katherine
6Cui, Claire
7Corrado, Greg
8Thrun, Sebastian
9Dean, Jeff
title
0A guide to deep learning in healthcare
1Nature medicine
addtitleNat Med
descriptionHere we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to domains such as electronic health record data. Similarly, reinforcement learning is discussed in the context of robotic-assisted surgery, and generalized deep-learning methods for genomics are reviewed.
subject
0Computer applications
1Computer vision
2Computer-aided medical diagnosis
3Computer-assisted surgery
4Data processing
5Deep Learning
6Delivery of Health Care
7Diagnostic Imaging
8Domains
9Electronic Health Records
10Electronic medical records
11Forecasts and trends
12Genetic research
13Genomics
14Health aspects
15Health care
16Humans
17Language
18Machine learning
19Medical imaging
20Natural Language Processing
21Robotic surgery
22Surgery
23Usage
issn
01078-8956
11546-170X
fulltextfalse
rsrctypearticle
creationdate2019
recordtypearticle
recordideNp9kl1rFDEUhoMotlZ_gDcyIIheTD1n8zmXS7FaKBT8wruQyZzZpszOrEkGtL--WVatW0rJRUJ4znPei5exlwjHCNy8TwJlgzWgqYGjqq8fsUOUQtWo4cfj8gZtatNIdcCepXQFABxk85QdcFCoOZeH7M2yWs2hoypPVUe0qQZycQzjqgpjdUluyJfeRXrOnvRuSPTiz33Evp1--HryqT6_-Hh2sjyvvdAm11IuJChFamFa2YJve-24cNK1jqNphCEhW-Wp7XvkzovGKYFcgNOqIyMBjtjbnXcTp58zpWzXIXkaBjfSNCe7QCWhaRBFQV_fQa-mOY4l3ZYSkmu9gFtq5QayYeynHJ3fSu1S6rJaCMRCHd9DldPROvhppD6U_72BV_cM2P-Bd3tAkWT6lVduTsmeffm8L3uIvfi-z-KO9XFKKVJvNzGsXfxtEey2FHZXCltKYbelsNe3YTdzu6bu38TfFhRA35H6kF0OJUd0YXhAfQOLvbv9
startdate201901
enddate201901
creator
0Esteva, Andre
1Robicquet, Alexandre
2Ramsundar, Bharath
3Kuleshov, Volodymyr
4DePristo, Mark
5Chou, Katherine
6Cui, Claire
7Corrado, Greg
8Thrun, Sebastian
9Dean, Jeff
generalNature Publishing Group
scope
0CGR
1CUY
2CVF
3ECM
4EIF
5NPM
6AAYXX
7CITATION
8IOF
9BSHEE
103V.
117QG
127QL
137QP
147QR
157T5
167TK
177TM
187TO
197U7
207U9
217X7
227XB
2388A
2488E
2588I
268AO
278FD
288FE
298FH
308FI
318FJ
328FK
338G5
34ABUWG
35AZQEC
36BBNVY
37BENPR
38BHPHI
39C1K
40DWQXO
41FR3
42FYUFA
43GHDGH
44GNUQQ
45GUQSH
46H94
47HCIFZ
48K9.
49LK8
50M0S
51M1P
52M2O
53M2P
54M7N
55M7P
56MBDVC
57P64
58PADUT
59PQEST
60PQQKQ
61PQUKI
62PRINS
63Q9U
64RC3
657X8
sort
creationdate201901
titleA guide to deep learning in healthcare
authorEsteva, Andre ; Robicquet, Alexandre ; Ramsundar, Bharath ; Kuleshov, Volodymyr ; DePristo, Mark ; Chou, Katherine ; Cui, Claire ; Corrado, Greg ; Thrun, Sebastian ; Dean, Jeff
facets
frbrtype5
frbrgroupidcdi_FETCH-LOGICAL-c478t-5525066e628b5b0cbf7a34a5aba318948e45b6cebff13ac49a641340a76de8500
rsrctypearticles
prefilterarticles
languageeng
creationdate2019
topic
0Computer applications
1Computer vision
2Computer-aided medical diagnosis
3Computer-assisted surgery
4Data processing
5Deep Learning
6Delivery of Health Care
7Diagnostic Imaging
8Domains
9Electronic Health Records
10Electronic medical records
11Forecasts and trends
12Genetic research
13Genomics
14Health aspects
15Health care
16Humans
17Language
18Machine learning
19Medical imaging
20Natural Language Processing
21Robotic surgery
22Surgery
23Usage
toplevelpeer_reviewed
creatorcontrib
0Esteva, Andre
1Robicquet, Alexandre
2Ramsundar, Bharath
3Kuleshov, Volodymyr
4DePristo, Mark
5Chou, Katherine
6Cui, Claire
7Corrado, Greg
8Thrun, Sebastian
9Dean, Jeff
collection
0Medline
1MEDLINE
2MEDLINE (Ovid)
3MEDLINE
4MEDLINE
5PubMed
6CrossRef
7Gale General OneFile
8Academic OneFile (A&I only)
9ProQuest Central (Corporate)
10Animal Behavior Abstracts
11Bacteriology Abstracts (Microbiology B)
12Calcium & Calcified Tissue Abstracts
13Chemoreception Abstracts
14Immunology Abstracts
15Neurosciences Abstracts
16Nucleic Acids Abstracts
17Oncogenes and Growth Factors Abstracts
18Toxicology Abstracts
19Virology and AIDS Abstracts
20Health & Medical Collection
21ProQuest Central (purchase pre-March 2016)
22Biology Database (Alumni Edition)
23Medical Database (Alumni Edition)
24Science Database (Alumni Edition)
25ProQuest Pharma Collection
26Technology Research Database
27ProQuest SciTech Collection
28ProQuest Natural Science Collection
29Hospital Premium Collection
30Hospital Premium Collection (Alumni Edition)
31ProQuest Central (Alumni) (purchase pre-March 2016)
32Research Library (Alumni Edition)
33ProQuest Central (Alumni Edition)
34ProQuest Central Essentials
35Biological Science Collection
36ProQuest Central
37Natural Science Collection
38Environmental Sciences and Pollution Management
39ProQuest Central Korea
40Engineering Research Database
41Health Research Premium Collection
42Health Research Premium Collection (Alumni)
43ProQuest Central Student
44Research Library Prep
45AIDS and Cancer Research Abstracts
46SciTech Premium Collection
47ProQuest Health & Medical Complete (Alumni)
48ProQuest Biological Science Collection
49Health & Medical Collection (Alumni Edition)
50Medical Database
51Research Library
52Science Database
53Algology Mycology and Protozoology Abstracts (Microbiology C)
54Biological Science Database
55Research Library (Corporate)
56Biotechnology and BioEngineering Abstracts
57Research Library China
58ProQuest One Academic Eastern Edition
59ProQuest One Academic
60ProQuest One Academic UKI Edition
61ProQuest Central China
62ProQuest Central Basic
63Genetics Abstracts
64MEDLINE - Academic
jtitleNature medicine
delivery
delcategoryRemote Search Resource
fulltextno_fulltext
addata
au
0Esteva, Andre
1Robicquet, Alexandre
2Ramsundar, Bharath
3Kuleshov, Volodymyr
4DePristo, Mark
5Chou, Katherine
6Cui, Claire
7Corrado, Greg
8Thrun, Sebastian
9Dean, Jeff
formatjournal
genrearticle
ristypeJOUR
atitleA guide to deep learning in healthcare
jtitleNature medicine
addtitleNat Med
date2019-01
risdate2019
volume25
issue1
spage24
epage29
pages24-29
issn1078-8956
eissn1546-170X
abstractHere we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language processing to domains such as electronic health record data. Similarly, reinforcement learning is discussed in the context of robotic-assisted surgery, and generalized deep-learning methods for genomics are reviewed.
copUnited States
pubNature Publishing Group
pmid30617335
doi10.1038/s41591-018-0316-z
tpages6