Why the grass isn't always greener on the machine learning side-Reference-Cited by-同舟云学术

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Why the grass isn't always greener on the machine learning side

Published:2023-12 Issue: Volume:118 Page:36-37
ISSN:0953-6205
Container-title:European Journal of Internal Medicine
language:en
Short-container-title:European Journal of Internal Medicine

Author:

de Hond Anne^ORCID,Huisman Menno^ORCID,Van Smeden Maarten^ORCID

Publisher

Elsevier BV

Subject

Internal Medicine

Reference14 articles.

1. Predicting acute and long-term mortality in a cohort of pulmonary embolism patients using machine learning;El-Bouri;Eur J Intern Med,2023

2. Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease;van Smeden;Eur. Heart J.,2022

3. Calculating the sample size required for developing a clinical prediction model;Riley;BMJ,2020

4. Recommendations and future directions for supervised machine learning in psychiatry;Cearns;Transl Psychiatry,2019

5. Perspectives on validation of clinical predictive algorithms;de Hond;NPJ Digital Medicine,2023

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