AI in Diagnostics

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AI in Diagnostics

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proceedings-article

Author(s): Bart Gips ¹ ^, , Ali Bahramisharif ¹

Publication date (Electronic preprint): 25 August 2022

Publisher: ScienceOpen

Conference name: RExPO22

Conference date: 2-3 September, 2022

Keywords: Causality, Statistical dependence, Diagnostics, Latent variable models, Precision medicine

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Abstract

Content

Author and article information

Conference

Publisher: ScienceOpen

Publication date (Electronic preprint): 25 August 2022

Affiliations

[1 ] Machine2Learn, Amsterdam, NLD

Author notes

[* ]Email: bart@ 123456machine2learn.nl .

Author information

Bart Gips https://orcid.org/0000-0003-3392-216X

Ali Bahramisharif https://orcid.org/0000-0002-2593-2686

Article

DOI: 10.14293/S2199-1006.1.SOR-.PPPCTUJO.v1

SO-VID: 46a519af-41fa-4289-b02f-8d2b478f6dfb

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

Conference name: RExPO22

Conference location: Maastricht, Netherlands

Conference date: 2-3 September, 2022

History

Date received : 24 August 2022

Data availability: Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Keywords: Diagnostics,Precision medicine,Latent variable models,Causality,Statistical dependence

References

Spirtes Peter, Glymour Clark, Scheines Richard. Causation, Prediction, and Search. 2001. The MIT Press. [Cross Ref]
Cui Ruifei, Bucur Ioan Gabriel, Groot Perry, Heskes Tom. A novel Bayesian approach for latent variable modeling from mixed data with missing values. Statistics and Computing. Vol. 29(5):977–993. 2019. Springer Science and Business Media LLC. [Cross Ref]
Zhang Kun, Peters Jonas, Janzing Dominik, Schoelkopf Bernhard. Kernel-based Conditional Independence Test and Application in Causal Discovery. 2012. arXiv. [Cross Ref]
Peterson Thomas A., Doughty Emily, Kann Maricel G.. Towards Precision Medicine: Advances in Computational Approaches for the Analysis of Human Variants. Journal of Molecular Biology. Vol. 425(21):4047–4063. 2013. Elsevier BV. [Cross Ref]

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[1] Spirtes Peter, Glymour Clark, Scheines Richard. Causation, Prediction, and Search. 2001. The MIT Press. [Cross Ref]

[2] Cui Ruifei, Bucur Ioan Gabriel, Groot Perry, Heskes Tom. A novel Bayesian approach for latent variable modeling from mixed data with missing values. Statistics and Computing. Vol. 29(5):977–993. 2019. Springer Science and Business Media LLC. [Cross Ref]

[3] Zhang Kun, Peters Jonas, Janzing Dominik, Schoelkopf Bernhard. Kernel-based Conditional Independence Test and Application in Causal Discovery. 2012. arXiv. [Cross Ref]

[4] Peterson Thomas A., Doughty Emily, Kann Maricel G.. Towards Precision Medicine: Advances in Computational Approaches for the Analysis of Human Variants. Journal of Molecular Biology. Vol. 425(21):4047–4063. 2013. Elsevier BV. [Cross Ref]