Machine learning for decision-making in cardiology: a narrative review to aid navigating the new landscape-Reference-Cited by-同舟云学术

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Machine learning for decision-making in cardiology: a narrative review to aid navigating the new landscape

Published:2023-08 Issue:8 Volume:76 Page:645-654
ISSN:1885-5857
Container-title:Revista Española de Cardiología (English Edition)
language:en
Short-container-title:Revista Española de Cardiología (English Edition)

Author:

Pickering John W.

Publisher

Elsevier BV

Subject

General Medicine

Reference52 articles.

1. Gartner Hype Cycle. Available at: https://www.gartner.com/en/research/methodologies/gartner-hype-cycle. Accessed 30 Aug 2022.

2. Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?;Faes;Front Digit Health.,2022

3. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling;Pearson;Philos Mag.,1900

4. The ASA's Statement on p-Values: Context, Process, and Purpose;Wasserstein;Am Stat.,2016

5. Step away from stepwise;Smith;J Big Data.,2018

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. Derivation and external validation of machine-learning models for risk stratification in chest pain with normal troponin;European Heart Journal: Acute Cardiovascular Care;2023-08-02

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