cirpublications.com-TQpx-1791121829-q706914333 1791121829 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Health Informatics and Digital Systems J. Health Inform. Digit. Syst. 3149-8973 2025 5 2 Anna Svensson Erik Lindberg 2025 10.68159/q706914333 https://cirpublications.com/pub/journal/2/article/q706914333 Mohammadi I, Wu H, Turkcan A, Toscos T, Doebbeling BN. Data analytics and modeling for appointment no-show in community health centers. J Prim Care Community Health. 2018;9:2150132718811692. Dantas LF, Hamacher S, Cyrino Oliveira FL, Barbosa SD, Viegas F. Predicting patient no-show behavior: a study in a bariatric clinic. Obes Surg. 2019;29(1):40-7. Nelson A, Herron D, Rees G, Nachev P. Predicting scheduled hospital attendance with artificial intelligence. NPJ Digit Med. 2019;2(1):26. Ahmadi E, Garcia-Arce A, Masel DT, Reich E, Puckey J, Maff R, et al. A metaheuristic-based stacking model for predicting the risk of patient no-show and late cancellation for neurology appointments. IISE Trans Healthc Syst Eng. 2019;9(3):272-91. AlMuhaideb S, Alswailem O, Alsubaie N, Ferwana I, Alnajem A. Prediction of hospital no-show appointments through artificial intelligence algorithms. Ann Saudi Med. 2019;39(6):373-81. Chong LR, Tsai KT, Lee LL, Foo SG, Chang PC. Artificial intelligence predictive analytics in the management of outpatient MRI appointment no-shows. AJR Am J Roentgenol. 2020;215(5):1155-62. Daghistani T, AlGhamdi H, Alshammari R, AlHazme RH. Predictors of outpatients' no-show: big data analytics using Apache Spark. J Big Data. 2020;7(1):108. Carreras-García D, Delgado-Gómez D, Llorente-Fernández F, Arribas-Gil A. Patient no-show prediction: a systematic literature review. Entropy (Basel). 2020;22(6):675. Alshammari R, Daghistani T, Alshammari A. The prediction of outpatient no-show visits by using deep neural network from large data. Int J Adv Comput Sci Appl. 2020;11(10). Aladeemy M, Adwan L, Booth A, Khasawneh MT, Poranki S. New feature selection methods based on opposition-based learning and self-adaptive cohort intelligence for predicting patient no-shows. Appl Soft Comput. 2020;86:105866. Ferro DB, Brailsford S, Bravo C, Smith H. Improving healthcare access management by predicting patient no-show behaviour. Decis Support Syst. 2020;138:113398. Fan G, Deng Z, Ye Q, Wang B. Machine learning-based prediction models for patients no-show in online outpatient appointments. Data Sci Manag. 2021;2:45-52. Alshammari A, Almalki R, Alshammari R. Developing a predictive model of predicting appointment no-show by using machine learning algorithms. J Adv Inf Technol. 2021;12(3). Salazar LH, Leithardt VR, Parreira WD, da Rocha Fernandes AM, Barbosa JL, Correia SD. Application of machine learning techniques to predict a patient's no-show in the healthcare sector. Future Internet. 2022;14(1):3. Liu D, Shin WY, Sprecher E, Conroy K, Santiago O, Wachtel G, et al. Machine learning approaches to predicting no-shows in pediatric medical appointment. NPJ Digit Med. 2022;5(1):50. Alabdulkarim Y, Almukaynizi M, Alameer A, Makanati B, Althumairy R, Almaslukh A. Predicting no-shows for dental appointments. PeerJ Comput Sci. 2022;8:e1147. Peng J, Patel AD, Burch M, Rossiter S, Parker W, Rust S. Predicting patient no-shows in an academic pediatric neurology clinic. J Child Neurol. 2022;37(7):582-8. Oikonomidi T, Norman G, McGarrigle L, Stokes J, van der Veer SN, Dowding D, et al. Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review. J Am Med Inform Assoc. 2023;30(3):559-69. Deina C, Fogliatto FS, da Silveira GJ, Anzanello MJ. Decision analysis framework for predicting no-shows to appointments using machine learning algorithms. BMC Health Serv Res. 2024;24(1):37. Yang Y, Madanian S, Parry D. Enhancing health equity by predicting missed appointments in health care: machine learning study. JMIR Med Inform. 2024;12(1):e48273. Toffaha KM, Simsekler MC, Alshehhi A, Omar MA. Predicting hospital no-shows: interpretable machine learning models approach. IEEE Access. 2024;12:166058-67. Rafique D, Liu X, Gong B, Belsito L, McCradden MD, Mazwi ML, et al. Predicting pediatric diagnostic imaging patient no-show and extended wait-times using LLMs, regression, and tree based models. Front Artif Intell. 2025;8:1652397. Hathaway QA, Yanamala N, Narumanchi T, Narumanchi J. Bringing precision to pediatric care: explainable AI in predicting no-show trends before and during the COVID-19 pandemic. Bioengineering (Basel). 2025;12(3):227. Ulloa-Pérez E, Blasi PR, Westbrook EO, Lozano P, Coleman KF, Coley RY. Pragmatic randomized study of targeted text message reminders to reduce missed clinic visits. Perm J. 2022;26(1):64-72. Tuan WJ, Yan Y, Abou Al Ardat B, Felix T, Chen Q. Predicting missed appointments in primary care: a personalized machine learning approach. Ann Fam Med. 2025;23(4):294-301. Alawadhi A, Jenkins D, Palin V, van Staa T. Development and evaluation of prediction models to improve the hospital appointments overbooking strategy at a large tertiary care hospital in the Sultanate of Oman: a retrospective analysis. BMJ Open. 2025;15(4):e093562. Borges A, Carvalho M, Maia M, Guimarães M, Carneiro D. Predicting and explaining absenteeism risk in hospital patients before and during COVID-19. Socioecon Plann Sci. 2023;87:101549. Hamdan AF, Bakar AA. Machine learning predictions on outpatient no-show appointments in a Malaysia major tertiary hospital. Malays J Med Sci. 2023;30(5):169-81. Salazar LH, Parreira WD, Fernandes AM, Leithardt VR. No-show in medical appointments with machine learning techniques: a systematic literature review. Information (Basel). 2022;13(11):507.