Prediction of appointment no-shows using electronic health records

DOI10.1080/02664763.2019.1672631OpenAlexW2979180284WikidataQ127178339 ScholiaQ127178339MaRDI QIDQ5037104

Benjamin A. Goldstein, Qiaohui Lin, Brenda Betancourt, Rebecca C. Steorts

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1672631

zbMATH Keywords

sparse Bayesian modelingautomatic relevance determinationappointment no-showsBayessian Lassoelectronic health data

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• PRMLT
• sprsmdl

Cites Work

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• The Pólya-gamma Gibbs sampler for Bayesian logistic regression is uniformly ergodic
• sprsmdl
• The Bayesian Lasso
• 10.1162/15324430152748236
• Sparsity and Smoothness Via the Fused Lasso
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

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