Who Cited It

Intelligible Models for HealthCare

2015 · 1,693 citations · 13 from inside this corpus

Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm low, Noémie Elhadad

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.

Intelligible Models for HealthCare (2015)Intelligible Models for Healt…Generalized Additive Models. (1991)Generalized Additive Models.Generalized Additive Models. (1991)Generalized Additive Models."Why Should I Trust You?" (2016)"Why Should I Trust You?"Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (2018)Peeking Inside the Black-Box:…A survey of methods for explaining black box models (2019)A survey of methods for expla…Explainable AI: A Review of Machine Learning Interpretability Methods (2020)Explainable AI: A Review of M…Methods for interpreting and understanding deep neural networks (2017)Methods for interpreting and …Scalable and accurate deep learning with electronic health records (2018)Scalable and accurate deep le…Scalable and accurate deep learning with electronic health records (2018)Scalable and accurate deep le…A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI (2020)A Survey on Explainable Artif…Definitions, methods, and applications in interpretable machine learning (2019)Definitions, methods, and app…Causability and explainability of artificial intelligence in medicine (2019)Causability and explainabilit…On Calibration of Modern Neural Networks (2017)On Calibration of Modern Neur…Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…
15 of 15 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
Generalized Additive Models.19918,296
Generalized Additive Models.19917,702

What cites it, inside the corpus

PaperYearCited
"Why Should I Trust You?"201616,210
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)20186,166
A survey of methods for explaining black box models20194,992
Explainable AI: A Review of Machine Learning Interpretability Methods20202,907
Methods for interpreting and understanding deep neural networks20172,763
Scalable and accurate deep learning with electronic health records20182,574
Scalable and accurate deep learning with electronic health records20182,398
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI20202,377
Definitions, methods, and applications in interpretable machine learning20192,161
Causability and explainability of artificial intelligence in medicine20191,851
On Calibration of Modern Neural Networks20171,741
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424

Links

DOI · OpenAlex record

Topics

Explainable Artificial Intelligence (XAI)Computer Science
Machine Learning in HealthcareComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

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

  • supports6 author record(s) attached.
  • supports11 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 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…