This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (93) Machine Learning (1501) Decision Support for Health Professionals (1210) Electronic Health Records (1068) Ophthalmology (47) Tools, Programs and Algorithms (275) Computer-Aided Diagnosis (135)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27363, first published .
Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review

Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review

Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review

Authors of this article:

Howard Maile1 Author Orcid Image ;   Ji-Peng Olivia Li2 Author Orcid Image ;   Daniel Gore2 Author Orcid Image ;   Marcello Leucci2 Author Orcid Image ;   Padraig Mulholland1, 2, 3 Author Orcid Image ;   Scott Hau2 Author Orcid Image ;   Anita Szabo1 Author Orcid Image ;   Ismail Moghul2 Author Orcid Image ;   Konstantinos Balaskas2 Author Orcid Image ;   Kaoru Fujinami1, 2, 4, 5 Author Orcid Image ;   Pirro Hysi6, 7 Author Orcid Image ;   Alice Davidson1 Author Orcid Image ;   Petra Liskova8, 9 Author Orcid Image ;   Alison Hardcastle1 Author Orcid Image ;   Stephen Tuft1, 2 Author Orcid Image ;   Nikolas Pontikos1, 2 Author Orcid Image
Article Authors Cited by (15) Tweetations (24) Metrics

Journals

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