Turning the crank for machine learning: ease, at what expense?-Reference-Cited by-同舟云学术

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Turning the crank for machine learning: ease, at what expense?

Published:2019-09 Issue:5 Volume:1 Page:e198-e199
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Pollard Tom J,Chen Irene,Wiens Jenna,Horng Steven,Wong Danny,Ghassemi Marzyeh,Mattie Heather,Lindemer Emily,Panch Trishan

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference6 articles.

1. Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study;Faes;Lancet Digital Health,2019

2. Why is my classifier discriminatory?;Chen;ArXiv,2018

3. Practical guidance on artificial intelligence for health-care data;Ghassemi;Lancet Digital Health,2019

4. The “inconvenient truth” about AI in healthcare;Panch;NPJ Digit Med,2019

5. Association between surgical skin markings in dermoscopic images and diagnostic performance of a deep learning convolutional neural network for melanoma recognition;Winkler;JAMA Dermatol,2019

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3. Spatial, temporal and technical variability in the diversity of prokaryotes and fungi in agricultural soils;Frontiers in Soil Science;2022-08-04

4. A distributed approach to the regulation of clinical AI;PLOS Digital Health;2022-05-26

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