Who Cited It

Scalable and accurate deep learning with electronic health records

2018 · 2,398 citations · 4 from inside this corpus

Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Michaela Hardt low, Peter J. Liu, Xiaobing Liu, Jake Marcus low, Mimi Sun, Patrik Sundberg low, Hector Yee low, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Quoc V. Le, Justin Tansuwan low, De Wang, James Wexler, Jimbo Wilson low, Dana Ludwig low, Samuel L. Volchenboum, Katherine Chou, Michael Pearson low, Srinivasan Madabushi low, Nigam H. Shah, Atul J. Butte, Michael Howell, Claire Cui, Greg S. Corrado, Jay B. Dean

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.

Scalable and accurate deep learning with electronic health records (2018)Scalable and accurate deep le…Long Short-Term Memory (1997)Long Short-Term MemoryScikit-learn: Machine Learning in Python (2012)Scikit-learn: Machine Learnin…Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…DeViSE: A Deep Visual-Semantic Embedding Model (2013)DeViSE: A Deep Visual-Semanti…Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E… (2016)Deep Patient: An Unsupervised…Intelligible Models for HealthCare (2015)Intelligible Models for Healt…Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health R… (2017)Deep EHR: A Survey of Recent …A guide to deep learning in healthcare (2018)A guide to deep learning in h…Machine Learning in Medicine (2019)Machine Learning in MedicineOn the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data (2018)Potential Biases in Machine L…
11 of 11 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Scikit-learn: Machine Learning in Python201264,025
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
DeViSE: A Deep Visual-Semantic Embedding Model20132,068
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E…20161,785
Intelligible Models for HealthCare20151,693
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health R…20171,693

What cites it, inside the corpus

PaperYearCited
A guide to deep learning in healthcare20185,126
Machine Learning in Medicine20194,382
On the Opportunities and Risks of Foundation Models20212,265
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data20181,409

Links

OpenAlex record

Topics

Machine Learning in HealthcareComputer Science
Electronic Health Records SystemsHealth Professions
Artificial Intelligence in HealthcareHealth Professions

Is this record sound?

complete

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

  • supports31 author record(s) attached.
  • supports104 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 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…