Rating results obtained during a review of original articles on radiomics and machine learning for outcome prediction based on PET

This upload provides Open Data associated with the publication "Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)" by Rogasch JMM et al. (2023). The upload contains the item-by-item results of rating for all criteria and all 100 original articles. PubMed IDs are also included. Furthermore, a description of all variable names and how the rating categories were encoded in the data tables can be found in the PDF file "ML_prediction_Dictionary_2023_08_27.pdf".

Related Organizations

Charité - University Medicine Berlin
Germany

Keywords

Radiomics, positron emission tomography, artificial intelligence, machine learning, TRIPOD, outcome prediction

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average