AIM and Causality for Precision and Value Based Healthcare-Reference-Cited by-同舟云学术

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AIM and Causality for Precision and Value Based Healthcare

Published:2021 Issue: Volume: Page:1-6
ISSN:
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Zenil Hector

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58080-3_294-1

Reference7 articles.

1. Brainard J. Rethinking retractions, data analysis and graphics. Science. 2018;362(6413):390–3.

2. Tegner J, Zenil H, Kiani NA, Ball G, Gomez-Cabrero D. Perspective on bridging scales and design of models using low-dimensional manifolds and data-driven model inference. Phil Trans R Soc A. 2016;374(2080).

3. Zenil H, Kiani NA, Zea A, Tegnér J. Causal deconvolution by algorithmic generative models. Nat Mach Intell. 2019;1:58–66.

4. Zenil H, Kiani NA, Marabita F, Deng Y, Elias Y, Schmidt A, Ball G, Tegnér J. An algorithmic information calculus for causal discovery and repro-gramming systems. iScience. 2019;19:1160–72.

5. Zenil H, Minary P. Training-free measures based on algorithmic probability identify high nucleosome occupancy in DNA sequences. Nucleic Acids Res. 2019;47:e129.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Causal Discovery of Medical Test Parameters Based on Improved PC Algorithm;2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS);2022-10-28

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