Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research-Reference-Cited by-同舟云学术

Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research

Published:2023 Issue: Volume:11 Page:101567-101579
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Koh Ryan G. L.¹^ORCID,Khan Md Asif²^ORCID,Rashidiani Sajjad²^ORCID,Hassan Samah³^ORCID,Tucci Victoria⁴^ORCID,Liu Theodore²^ORCID,Nesovic Karlo¹^ORCID,Kumbhare Dinesh¹^ORCID,Doyle Thomas E.²^ORCID

Affiliation:

1. KITE Research Institute, Toronto Rehabilitation Institute, University Health Network (UHN), Toronto, ON, Canada

2. Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

3. The Institute of Education Research (TIER), UHN, Toronto, ON, Canada

4. Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada

Funder

Canadian Department of National Defence IDEaS

Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10251957.pdf?arnumber=10251957

Reference95 articles.

1. GPS driving: a digital biomarker for preclinical Alzheimer disease

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3. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

4. Ultrasound Image Quality Evaluation using a Structural Similarity Based Autoencoder

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