A metaheuristic-based stacking model for predicting the risk of patient no-show and late cancellation for neurology appointments
Author:
Affiliation:
1. School of Business and Leadership, Our Lady of the Lake University, San Antonio, TX 78207, USA;
2. Geisinger Health System, Danville, PA, USA;
3. Department of Industrial and Systems Engineering, Ohio University, Athens, OH, USA
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/10.1080/24725579.2019.1649764
Reference78 articles.
1. Decision making model to predict presence of coronary artery disease using neural network and C5.0 decision tree
2. A multi objective optimization approach for flexible job shop scheduling problem under random machine breakdown by evolutionary algorithms
3. A probabilistic model for predicting the probability of no-show in hospital appointments
4. Feature decision-making ant colony optimization system for an automated recognition of plant species
5. A hybrid NSGA-II and VNS for solving a bi-objective no-wait flexible flowshop scheduling problem
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