227
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods

, , , , , , , , , & show all

References

  • Liu B, Chu Y, Ma J, et al. Analysis of risk factors for C5 nerve root paralysis after posterior cervical decompression. BMC Musculoskelet Disord. 2021;22(1):614. doi:10.1186/s12891-021-04434-y.
  • Marie-Hardy L, Pascal-Moussellard H. Degenerative cervical myelopathy. Rev Neurol. 2021;177(5):1–10. doi:10.1016/j.neurol.2020.11.015.
  • Luyao H, Xiaoxiao Y, Tianxiao F, Yuandong L, Ping W. Management of cervical spondylotic radiculopathy: a systematic review. Global Spine J. 2022;12(8):1912–1924, doi:10.1177/21925682221075290.
  • Yin M, Xu C, Ma J, et al. A bibliometric analysis and visualization of current research trends in the treatment of cervical spondylotic myelopathy. Global Spine J. 2021;11(6):988–998. doi:10.1177/2192568220948832.
  • Zhang B, Chen G, Chen X, et al. Cervical ossification of ligamentum flavum: elaborating an underappreciated but occasional contributor to myeloradiculopathy in aging population based on synthesis of individual participant data. Clin Interv Aging. 2021;16:897–908. doi:10.2147/CIA.S313357.
  • Mutair AA, Al Mutairi A, Schwebius D. The retention effect of staff education programme: sustaining a decrease in hospital-acquired pressure ulcers via culture of care integration. Int Wound J. 2021;18(6):843–849. doi:10.1111/iwj.13586.
  • Southern W, Arnsten J. Increased risk of mortality among patients cared for by physicians with short length-of-stay tendencies. J Gen Intern Med. 2015;30(6):712–718. doi:10.1007/s11606-014-3155-8.
  • Bell M, Eriksson L, Svensson T, et al. Days at home after surgery: an integrated and efficient outcome measure for clinical trials and quality assurance. EClinicalMedicine. 2019;11:18–26. doi:10.1016/j.eclinm.2019.04.011.
  • Xiao H, Huang W, Qin X, et al. Day ward glaucoma patients have lower depression levels and higher glaucoma knowledge levels than inpatients. J Ophthalmol. 2019;2019:4182030–4182037. doi:10.1155/2019/4182030.
  • Schweiger C, Manica D. Ongoing laryngeal stenosis: conservative management and alternatives to tracheostomy. Front Pediatr. 2020;8:161. doi:10.3389/fped.2020.00161.
  • Majumder MAA, Rahman S, Cohall D, et al. Antimicrobial stewardship: fighting antimicrobial resistance and protecting global public health. Infect Drug Resist. 2020;13:4713–4738. doi:10.2147/IDR.S290835.
  • Dumville JC, McFarlane E, Edwards P, et al. Preoperative skin antiseptics for preventing surgical wound infections after clean surgery. Cochrane Database Syst Rev. 2015;2015(4):CD003949. doi:10.1002/14651858.CD003949.pub4.
  • Doupnik SK, Lawlor J, Zima BT, et al. Mental health conditions and medical and surgical hospital utilization. Pediatrics. 2016;138(6):e20162416. doi:10.1542/peds.2016-2416.
  • Algado-Sellés N, Mira-Bernabeu J, Gras-Valentí P, et al. Estimated costs associated with surgical site infections in patients undergoing cholecystectomy. Int J Environ Res Public Health. 2022;19(2):764. doi:10.3390/ijerph19020764.
  • Crintea A, Carpa R, Mitre AO, et al. Nanotechnology involved in treating urinary tract infections: an overview. Nanomaterials. 2023;13(3):555. doi:10.3390/nano13030555.
  • Thakkar HK, Liao WW, Wu CY, et al. Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches. J NeuroEngineering Rehabil. 2020;17(1):131. doi:10.1186/s12984-020-00758-3.
  • Giambagli L, Buffoni L, Carletti T, et al. Machine learning in spectral domain. Nat Commun. 2021;12(1):1330. doi:10.1038/s41467-021-21481-0.
  • Yang B, Gao L, Wang X, et al. Application of supervised machine learning algorithms to predict the risk of hidden blood loss during the perioperative period in thoracolumbar burst fracture patients complicated with neurological compromise. Front Public Health. 2022;10:969919. doi:10.3389/fpubh.2022.969919.
  • Wang S, Su W, Zhong C, et al. An eight-circRNA assessment model for predicting biochemical recurrence in prostate cancer. Front Cell Dev Biol. 2020;8:599494. doi:10.3389/fcell.2020.599494.
  • Ivanoska I, Trivodaliev K, Kalajdziski S, et al. Statistical and machine learning link selection methods for brain functional networks: review and comparison. Brain Sci. 2021;11(6):735. doi:10.3390/brainsci11060735.
  • de Assis RR, Jain A, Nakajima R, et al. Analysis of SARS-CoV-2 antibodies in COVID-19 convalescent blood using a coronavirus antigen microarray. Nat Commun. 2021;12(1):6. doi:10.1038/s41467-020-20095-2.
  • Kahm M, Navarrete C, Llopis-Torregrosa V, et al. Potassium starvation in yeast: mechanisms of homeostasis revealed by mathematical modeling. PLOS Comput Biol. 2012;8(6):e1002548. doi:10.1371/journal.pcbi.1002548.
  • Zhou Q, Fan L, Lai X, et al. Estimating extra length of stay and risk factors of mortality attributable to healthcare-associated infection at a Chinese university hospital: a multi-state model. BMC Infect Dis. 2019;19(1):975. doi:10.1186/s12879-019-4474-5.
  • Wang QH, Wang X, Bu XL, et al. Comorbidity burden of dementia: a hospital-based retrospective study from 2003 to 2012 in seven cities in China. Neurosci Bull. 2017;33(6):703–710. doi:10.1007/s12264-017-0193-3.
  • Sultana R, Luby SP, Gurley ES, et al. Cost of illness for severe and non-severe diarrhea borne by households in a low-income urban community of Bangladesh: a cross-sectional study. PLOS Negl Trop Dis. 2021;15(6):e0009439. doi:10.1371/journal.pntd.0009439.
  • Chan KF, Kwok WC, Ma TF, et al. Territory-wide study on hospital admissions for asthma exacerbations in the COVID-19 pandemic. Ann Am Thorac Soc. 2021;18(10):1624–1633. doi:10.1513/AnnalsATS.202010-1247OC.
  • Müller M, Gutwerk A, Greve F, et al. The association between high body mass index and early clinical outcomes in patients with proximal femur fractures. J Clin Med. 2020;9(7):2076. doi:10.3390/jcm9072076.
  • Mekal D, Czerw A, Deptala A. Dietary behaviour and nutrition in patients with COPD treated with long-term oxygen therapy. Int J Environ Res Public Health. 2021;18(23):12793. doi:10.3390/ijerph182312793.
  • Shirai Y, Momosaki R, Kokura Y, et al. Validation of Asian body mass index cutoff values for the classification of malnutrition severity according to the global leadership initiative on malnutrition criteria in patients with chronic obstructive pulmonary disease exacerbations. Nutrients. 2022;14(22):4746. doi:10.3390/nu14224746.
  • Dham D, Roy B, Gowda A, et al. 4-Hydroxy-2-nonenal, a lipid peroxidation product, as a biomarker in diabetes and its complications: challenges and opportunities. Free Radic Res. 2021;55(5):510–524. doi:10.1080/10715762.2020.1866756.
  • Grant B, Chowdhury TA. New guidance on the perioperative management of diabetes. Clin Med. 2022;22(1):41–44. doi:10.7861/clinmed.2021-0355.
  • Razali NAM, Malizan NA, Hasbullah NA, et al. Opinion mining for national security: techniques, domain applications, challenges and research opportunities. J Big Data. 2021;8(1):150. doi:10.1186/s40537-021-00536-5.
  • Ionita-Laza I, McCallum K, Xu B, et al. A spectral approach integrating functional genomic annotations for coding and noncoding variants. Nat Genet. 2016;48(2):214–220. doi:10.1038/ng.3477.
  • Chen X, Wang H, Huang K, et al. CT-based radiomics signature with machine learning predicts MYCN amplification in pediatric abdominal neuroblastoma. Front Oncol. 2021;11:687884. doi:10.3389/fonc.2021.687884.
  • Sujeeun LY, Goonoo N, Ramphul H, et al. Correlating in vitro performance with physico-chemical characteristics of nanofibrous scaffolds for skin tissue engineering using supervised machine learning algorithms. R Soc Open Sci. 2020;7(12):201293. doi:10.1098/rsos.201293.
  • Yi W, Qiu S, Wang K, et al. EEG oscillatory patterns and classification of sequential compound limb motor ­imagery. J NeuroEngineering Rehabil. 2016;13(1):11. doi:10.1186/s12984-016-0119-8.