Who Cited It

Deep learning for healthcare: review, opportunities and challenges

2017 · Briefings in Bioinformatics · 3,115 citations · 2 from inside this corpus

Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Deep learning for healthcare: review, opportunities and challenges (2017)Deep learning for healthcare:…Long Short-Term Memory (1997)Long Short-Term MemoryDropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Learning representations by back-propagating errors (1986)Learning representations by b…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…"Why Should I Trust You?" (2016)"Why Should I Trust You?"Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Introduction to information retrieval (2009)Introduction to information r…Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou… (2012)Deep Neural Networks for Acou…Machine learning: Trends, perspectives, and prospects (2015)Machine learning: Trends, per…Machine learning a probabilistic perspective (2012)Machine learning a probabilis…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…On the Properties of Neural Machine Translation: Encoder–Decoder Approaches (2014)On the Properties of Neural M…Deep Learning with Differential Privacy (2016)Deep Learning with Differenti…Differential Privacy (2006)Differential PrivacyNatural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…A Learning Algorithm for Continually Running Fully Recurrent Neural Networks (1989)A Learning Algorithm for Cont…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Protocols for secure computations (1982)Protocols for secure computat…Privacy-Preserving Deep Learning (2015)Privacy-Preserving Deep Learn…Convolutional Neural Networks for Speech Recognition (2014)Convolutional Neural Networks…Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…Practical Recommendations for Gradient-Based Training of Deep Architectures (2012)Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…Deep Neural Networks for Acoustic Modeling in Speech Recognition (2012)Deep Neural Networks for Acou…Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E… (2016)Deep Patient: An Unsupervised…Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…Federated Learning for Healthcare Informatics (2020)Federated Learning for Health…A survey on sentiment analysis methods, applications, and challenges (2022)A survey on sentiment analysi…
31 of 31 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Dropout: a simple way to prevent neural networks from overfitting201434,236
Learning representations by back-propagating errors198631,688
Reducing the Dimensionality of Data with Neural Networks200621,247
Deep learning in neural networks: An overview201418,236
A Fast Learning Algorithm for Deep Belief Nets200616,540
"Why Should I Trust You?"201616,210
Sequence to Sequence Learning with Neural Networks201413,351
Introduction to information retrieval200912,588
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Fou…201210,399
Machine learning: Trends, perspectives, and prospects20159,947
Machine learning a probabilistic perspective20129,324
Learning Deep Architectures for AI20096,951
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches20146,683
Deep Learning with Differential Privacy20166,220
Differential Privacy20065,337
Natural Language Processing (almost) from Scratch20115,174
Learning Deep Architectures for AI20095,077
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks19894,490
Natural Language Processing (almost) from Scratch20113,991
Protocols for secure computations19823,069
Privacy-Preserving Deep Learning20152,325
Convolutional Neural Networks for Speech Recognition20142,304
Why Does Unsupervised Pre-training Help Deep Learning?20102,114
Practical Recommendations for Gradient-Based Training of Deep Architectures20121,960
Teaching Machines to Read and Comprehend20151,939
Deep Neural Networks for Acoustic Modeling in Speech Recognition20121,907
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E…20161,785
Teaching Machines to Read and Comprehend20151,519

What cites it, inside the corpus

PaperYearCited
Federated Learning for Healthcare Informatics20201,497
A survey on sentiment analysis methods, applications, and challenges20221,493

Links

DOI · Open access copy · OpenAlex record

Topics

Machine Learning in HealthcareComputer Science
Artificial Intelligence in HealthcareHealth Professions
Biomedical Text Mining and OntologiesBiochemistry, Genetics and Molecular Biology

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports133 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…