Integrating Machine Learning Standards in Disseminating Machine Learning Research

Abstract excerpt

<p>The increasing use of AI-based approaches such as machine learning (ML) across diverse scientific fields presents challenges for reproducibly disseminating and assessing research. As ML becomes integral to a growing range of computationally intensive applications (e.g. clinical research), there is a critical need for transparent reporting methods to ensure both comprehensibility and the reproducibility of the s...

Topics

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• COVID-19
• Electronic Health Records
• Genomics and Rare Diseases
• Machine Learning
• Phenotype
• Reproducibility of Results

Identifiers and source

Literature Corpus work

b9a6c22e-65ed-57cb-a841-55111b6552c8

DOI

10.31222/osf.io/y6jh2_v2