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Artificial Intelligence-Based Prediction of Subjective Refraction and Clinical Determinants of Prediction Error. [PDF]

Diagnostics (Basel)
Candan O, Saglam I, Orman G, Unlu N, Burcu A, Candan Y.   +5 more
europepmc   +1 more source

Meta-analysis with a single study. [PDF]

Stat Methods Med Res
van Zwet E, Wiȩcek W, Gelman A.
europepmc   +1 more source

Methods for Addressing Missingness in Electronic Health Record Data for Clinical Prediction Models: Comparative Evaluation.

JMIR Med Inform
Digitale J, Franzon D, Pletcher MJ, McCulloch CE, Gennatas ED.   +4 more
europepmc   +1 more source

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Root mean square error or mean absolute error? Use their ratio as well

Information Sciences, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Root-Mean-Square Error in Encoded Digital Telemetry

IEEE Transactions on Communications, 1972
This paper studies the effectiveness of certain group codes in reducing the root-mean-square (rms) error in a digital telemetry link. The zero-sampling-error lower bound on the total error is derived for the case when majority-logic-decodable group codes are used in the channel.
C. Kilgus, W. Gore
openaire   +1 more source

Normal-eye Zernike coefficients and root-mean-square wavefront errors

Journal of Cataract and Refractive Surgery, 2006
To compare aberrometry measurements from multiple sites and compute mean Zernike coefficients and root-mean-square (RMS) values for the entire data pool to serve as a reference set for normal, healthy adult eyes.Northeastern State University, Tahlequah, Oklahoma, USA.Data were collected from 10 laboratories that measured higher-order aberrations (HOAs)
Thomas O, Salmon, Corina, van de Pol
openaire   +2 more sources

Automatic Gamma Correction Based on Root-Mean-Square-Error Maximization

2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020
Gamma correction is a well-known method used often for image enhancement, mainly to improve the luminance levels of dark and bright images. However, the enhancement level is highly affected by the gamma parameter used. In this paper, we propose a new iterative algorithm for automating the selection of the gamma value γ by maximizing the mean error ...
Ahmad S. Tarawneh, Ahmad B. Hassanat, Issam Elkhadiri, Dmitry Chetverikov, Khalid Almohammadi   +4 more
openaire   +1 more source