A Multi-Stage predictive model for missed appointments at outpatient primary care settings serving rural areas-Reference-Cited by-同舟云学术

A Multi-Stage predictive model for missed appointments at outpatient primary care settings serving rural areas

Published:2020-12-17 Issue: Volume: Page:1-16
ISSN:2472-5579
Container-title:IISE Transactions on Healthcare Systems Engineering
language:en
Short-container-title:IISE Transactions on Healthcare Systems Engineering

Author:

Abu Lekham Laith¹,Wang Yong¹^ORCID,Hey Ellen²,Lam Sarah S.¹,Khasawneh Mohammad T.¹

Affiliation:

1. Systems Science and Industrial Engineering Department, State University of New York, Binghamton, NY, USA

2. Finger Lakes Community Health, Geneva, NY, USA

Funder

Finger Lakes Community Health to Binghamton University

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725579.2020.1858210

Reference41 articles.

1. Adwan, L. S. (2017). Predicting patient's no-show in primary care clinics based on metaheuristics [M.S. Thesis]. State University of New York at Binghamton.

2. New feature selection methods based on opposition-based learning and self-adaptive cohort intelligence for predicting patient no-shows

3. Al-Mashraie, M. (2014). Simulation-based evaluation of no-show prediction using deep learning neural networks [M.S. Thesis]. State University of New York at Binghamton.

4. Boyer, L. (2019, September 9). Which wins? The national average no-show rate or yours? Retrieved February 8, 2020, from https://www.solutionreach.com/blog/which-wins-the-national-average-no-show-rate-or-yours

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