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Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data

Journal of Optometry(2022)10.1016/j.optom.2022.03.001Source: DataRank Database

Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data is a research paper published in Journal of Optometry (2022). On theSindex it has a DataRank of 0. It has been cited 11 times.

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Open Access11 citations

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Enrichment:Funding (10 grants)OA: goldTopics (21)IDs (PubMed, PMC)

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Authors (9)

Andrea Gil ORCID,Ignacio Casares,Jesús Poderoso ORCID,Alec Wehse ORCID,Shivang R. Dave ORCID

Live enrichment

PubMed:35431181 PMC:PMC9732475

Ministerio de Economía y Competitividad

Grant: RYC-2016-21125

Agencia Estatal de Investigación

Grant: PGC2018- 095895-B-I00

National Eye Institute

Grant: R44EY025452

National Institute of Biomedical Imaging and Bioengineering

Grant: R43EB024299

Comunidad de Madrid

Grant: IND2019/TIC-17116

Comunidad de Madrid

Grant: IND2020/TIC-17340

Comunidad de Madrid

Grant: PEJD-2019-PRE/IND-15478

Comunidad de Madrid

Grant: S2017/BMD-3688

National Institutes of Health

Grant: 5R44EY025452-05

Commercialization of automated mobile device for accurate comprehensive refraction

National Institutes of Health

Grant: 1R43EB024299-01

Improving access to vision correction for health disparity populations with the QuickSee: an accurate, low-cost, easy-to-use objective refractor

goldLicense: cc-by-nc-nd

publisherhttps://www.sciencedirect.com/science/article/pii/S1888429622000152/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1888429622000152?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1888429622000152?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9732475

repositoryhttp://hdl.handle.net/10486/711208

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansRefractive ErrorsVision TestsRefraction, OcularReproducibility of ResultsAberrometryMachine Learning

Keywords

Machine LearningSubjective RefractionWavefront AberrometryPortable AutorefractorTelecomunicacionesArtificial IntelligenceAberrometryVision TestsHumansReproducibility of ResultsRefractive ErrorsRefraction, Ocular