cirpublications.com-f0Y2-1790899045-a116625728 1790899045 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 2023 3 1 Maria Silva Joao Pereira 2023 10.68159/a116625728 https://cirpublications.com/pub/journal/2/article/a116625728 Almeida G, Azevedo G, Gomes JJ, Mata F, Correia M. Hospital length-of-stay prediction using machine learning algorithms—a literature review. Appl Sci. 2023;14(22):10523. 10.3390/app142210523 Silva WN, Oliveira J, Costa M, Silva P, Pereira J, Ferreira A, et al. Artificial intelligence approaches to predict postoperative length of hospital stay in head and neck cancer patients: a systematic review. Diagnostics (Basel). 2023;13(16):263. 10.3390/diagnostics1316263 Lee H, Park C, Gurmu Y, Song IY, Kim E, Yoon HJ, et al. Hospital length of stay prediction for planned admissions using OMOP common data model: retrospective study. JMIR Med Inform. 2023;11:e59260. 10.2196/59260 Zeleke AJ, Mauro M, Moreno-Espinoza D, Kriza C, Deshpande D, Falk V, et al. Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a gradient boosting algorithm analysis. Front Artif Intell. 2023;6:1179226. 10.3389/frai.2023.1179226 Jain R, Basu S, Ferasat A, Gupta S, Singh V, Dominic J, et al. Predicting hospital length of stay using machine learning on a large open health dataset. BMC Health Serv Res. 2023;23(1):710. 10.1186/s12913-023-09738-2 Chen J, Li W, Hu H, Chen L, Buzzanell PM, Gao H, et al. Multi-modal learning for inpatient length of stay prediction. Comput Biol Med. 2023;150:106519. 10.1016/j.compbiomed.2022.106519 Peng B, Ng J, Aboagye JK, Hadley EE, Krieger M, Puri T, et al. Prediction of hospital length of stay: leveraging ensemble tree models and intelligent feature selection. J Hosp Manag Health Policy. 2023;7:12. 10.21037/jhmhp-22-86 Jaotombo F, Pauly V, Fond G, Orleans V, Auquier P, Ghattas B, et al. Machine-learning prediction for hospital length of stay using a French medico-administrative database. J Mark Access Health Policy. 2022;11(1):2149318. 10.1080/20016689.2022.2149318 Gokhale S, Taylor D, Burns J, Kaye AD. Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis. Front Med (Lausanne). 2023;10:1192969. 10.3389/fmed.2023.1192969 Yasin P, Saqib M, Hussain N, Asghar F, Rahman SU. Machine learning-enabled prediction of prolonged length of stay after surgery for tuberculosis spondylitis using explainable AI. Eur J Med Res. 2023;28(1):257. 10.1186/s40001-023-01214-9 Alnsour Y, Alshammari M, Alazzam A, Khan I. Predicting patient length of stay using artificial intelligence for resource planning and scheduling. J Glob Inf Manag. 2023;31(8):1-14. 10.4018/JGIM.323205 Zhu B, Cao B, Wang Q, Xu Z, Li C, Wu M, et al. Predictive model for length of hospital stay after total knee arthroplasty: retrospective study. Front Surg. 2023;10:1102371. 10.3389/fsurg.2023.1102371 Payrovnaziri SN, Xing A, Shaeke S, Chen X, Liu H, Valdez J, et al. Explainable artificial intelligence models using real-world EHR data: a systematic scoping review. J Am Med Inform Assoc. 2020;27(7):1173-85. Yang CC, Veltri P. Explainable artificial intelligence for predictive modeling in healthcare. J Healthc Inform Res. 2022;6(1):87-98. 10.1007/s41666-021-00114-4 Hilton CB, Milinovich A, Felix C, Pavicic M, Taksler GB, Probst CP, et al. Personalized predictions of patient outcomes using artificial intelligence. NPJ Digit Med. 2020;3:51. 10.1038/s41746-020-0249-z Baniecki H, Sobanski P, Bombardieri S, Biecek P. Hospital length of stay prediction based on multi-modal data toward trustworthy human-AI collaboration. Artif Intell Med. 2023;143:102609. 10.1016/j.artmed.2023.102609 Dehghani M, Ghaderi Nia B, Abhari S, Ghorbani M, Abhari S, Jalalimanesh A. Framework on discrete events simulation in emergency department: a systematic review. Bull Emerg Trauma. 2017;5(2):79-89. Shimabukuro DW, Barton CW, Feldman MD, Mataraso SJ, Das R. Effect of a machine learning-based severe sepsis prediction algorithm on survival and hospital length of stay: randomized trial. BMJ Open Respir Res. 2017;4(1):e000234. 10.1136/bmjresp-2017-000234 Abdulwahid MA, Booth A, Turner J, Kuczawski M, Mason S. Senior doctor triage: clinicians’ views on early assessment of emergency patients. Emerg Med J. 2018;35(7):451-5. 10.1136/emermed-2017-207109 Moglia A, Georgiou K, Georgiou E, Satava RM, Cuschieri A. Artificial intelligence in robot-assisted surgery: systematic review. Int J Surg. 2021;95:106151. 10.1016/j.ijsu.2021.106151 Adamidi ES, Mitsis K, Nikita KS. Artificial intelligence in clinical care during COVID-19: systematic review. Comput Struct Biotechnol J. 2021;19:2833-50. 10.1016/j.csbj.2021.05.010 Bellini V, Valente M, Del Rio P, Bignami E. Artificial intelligence in thoracic surgery: narrative review. J Thorac Dis. 2021;13(12):7043-60. 10.21037/jtd-21-1139 Mohanty SD, Lekan D, McCoy AB, McCoy JA, Yemane L, Korzeniewski A, et al. Machine learning for predicting readmission risk among the frail: explainable AI. Patterns (N Y). 2022;3(1):100388. 10.1016/j.patter.2021.100388 Ng R, Chew SY, Goh JY, Tan JWY, Chan KS, Shorey S, et al. Implementing an individual-centric discharge process across Singapore hospitals. Int J Environ Res Public Health. 2021;18(16):8700. 10.3390/ijerph18168700 Lisacek-Kiosoglous AB, Powling AS, Fontalis A, Gabr A, Mazomenos E, Haddad FS. Artificial intelligence in orthopaedic surgery. Bone Joint Res. 2023;12(7):447-54. 10.1302/2046-3758.127.BJR-2023-0111.R1 Kovoor JG, Bacchi S, Stretton B, Gupta AK, Bray SCJ, Thomas J, et al. The Adelaide score: AI measure of readiness for discharge. ANZ J Surg. 2023;93(6):1541-6. 10.1111/ans.18431 Martinez VA, Westover MB, Escobar GJ, Dykes PC, Adjeroh DA, Bates DW, et al. Kaiser Permanente advance alert monitor program: automated early warning system. Jt Comm J Qual Patient Saf. 2022;48(10):519-28. 10.1016/j.jcjq.2022.07.003