Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Research graph
References from Machine learning-based risk prediction model for postoperative abdominal distension after spinal surgery under general anesthesia. Local targets link to admitted publications; unresolved targets remain external evidence.
Prevalence of lumbar spinal stenosis in general and clinical populations: a systematic review and meta-analysis
10.1007/s00586-020-06339-1 · 2020 · External reference
Global, regional, and national burden of spinal cord injury from 1990 to 2021 and projections for 2050: a systematic analysis for the global burden of disease 2021 study
10.1016/j.arr.2024.102598 · 2025 · External reference
General anaesthesia-related complications of gut motility with a focus on cholinergic mechanisms, TRP channels and visceral pain
10.3389/fphys.2023.1174655 · 2023 · External reference
Incidence and risk factors of postoperative ileus in oblique lumbar interbody fusion surgery: a retrospective study
10.14245/ns.2449070.535 · 2025 · External reference
Early diet liberalization after anterior lumbar interbody fusion improves postoperative recovery
10.1177/21925682231223461 · 2025 · External reference
Risk factors for postoperative ileus after oblique lateral interbody fusion: a multivariate analysis
10.1016/j.spinee.2020.10.002 · 2021 · External reference
Cost of postoperative ileus following colorectal surgery: a cost analysis in the Australian public hospital setting
10.1111/codi.16235 · 2022 · External reference
Recovery of gastrointestinal functional after surgery for abdominal tumors: a narrative review
10.1097/md.0000000000040418 · 2024 · External reference
Postoperative ileus and gastrointestinal complications following spine surgery: a systematic review of incidence, risk factors, prevention, and treatment
10.4103/jcvjs.jcvjs_192_25 · 2026 · External reference
Risk factors for postoperative ileus following spine surgery: a systematic review with meta-analysis
10.1177/21925682231174192 · 2024 · External reference
Risk factors for postoperative ileus after thoracolumbar and lumbar spinal fusion surgery: systematic review and meta-analysis
10.1016/j.wneu.2022.10.025 · 2022 · External reference
Risk prediction model for chemotherapy-induced nausea and vomiting in cancer patients: a systematic review
10.1016/j.ijnurstu.2025.105094 · 2025 · External reference
What are risk factors for an ileus after posterior spine surgery?-A case control study
10.1177/2192568220981971 · 2022 · External reference
Incidence and risk factors contributing to ileus after posterior approach for lumbar surgery: a retrospective study
10.3389/fsurg.2025.1528409 · 2025 · External reference
Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis
10.1186/s13643-025-02771-w · 2025 · External reference
Artificial intelligence and machine learning in acute respiratory distress syndrome management: recent advances
10.3389/fmed.2025.1597556 · 2025 · External reference
Machine learning-based diagnostic model for neonatal intestinal diseases in multiple centres: a cross-sectional study protocol
10.1136/bmjopen-2024-096750 · 2025 · External reference
Knowledge-Guided explainable recommendation tool for cancer risk prediction models using retrieval-augmented large language models: development and validation study
10.2196/78519 · 2026 · External reference
Transparency of artificial intelligence/machine learning-enabled medical devices
10.1038/s41746-023-00992-8 · 2024 · External reference
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
10.1136/bmj.g7594 · 2015 · External reference
TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Multivariate imputation by chained equations in R
10.32614/cran.package.mice · 2011 · External reference
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
10.1136/bmj.b2393 · 2009 · External reference
Intravenous lidocaine infusion accelerates postoperative bowel function recovery in patients undergoing lumbar surgery: a multi-center, randomized controlled trial
10.1097/js9.0000000000003952 · 2026 · External reference
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
10.1016/j.jclinepi.2019.02.004 · 2019 · External reference
Comparisons of machine learning models to logistic regression in orthopedic sports medicine are confounded by methodological heterogeneity: a systematic review and meta-analysis
10.1016/j.jisako.2026.101088 · 2026 · External reference
Comparison of multivariable logistic regression and other machine learning algorithms for prognostic prediction studies in pregnancy care: systematic review and meta-analysis
10.2196/16503 · 2020 · External reference
Calibration: the achilles heel of predictive analytics
10.1186/s12916-019-1466-7 · 2019 · External reference
Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine learning algorithms
10.1080/07853890.2024.2388709 · 2024 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
A unified approach to interpreting model predictions
2017 · External reference
Patient-controlled analgesia following lumbar spinal fusion surgery is associated with increased opioid consumption and opioid-related adverse events
10.1093/neuros/nyaa111 · 2020 · External reference
Ambulation on postoperative day# 0 is associated with decreased morbidity and adverse events after elective lumbar spine surgery: analysis from the Michigan spine surgery improvement collaborative (MSSIC)
10.1093/neuros/nyz501 · 2020 · External reference
Risk factors for postoperative ileus in patients undergoing spine surgery
10.1177/21925682221075056 · 2023 · External reference
Validity of the I-FEED classification in assessing postoperative gastrointestinal impairment in patients undergoing elective lumbar spinal surgery with general anesthesia: a prospective observational study
10.1186/s13741-024-00409-4 · 2024 · External reference
Postoperative ileus after lumbar spine surgery: risk factors and impact on morbidity and patient outcomes
10.1097/brs.0000000000005618 · 2026 · External reference
Development of a postoperative ileus risk assessment scale: identification of intraoperative opioid exposure as a significant predictor after spinal surgery
10.3171/2019.5.spine19365 · 2019 · External reference
Evaluation of clinical prediction models (part 1): from development to external validation
10.1136/bmj-2023-074819 · 2024 · External reference
International validation of the SORG machine-learning algorithm for predicting the survival of patients with extremity metastases undergoing surgical treatment
10.1097/corr.0000000000001969 · 2022 · External reference
Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review
10.1186/s12874-025-02463-y · 2025 · External reference
10.25302/09.2021.me.160635555
10.25302/09.2021.me.160635555 · 2021 · External reference
Machine learning applications in spine biomechanics
10.1016/j.jbiomech.2024.111967 · 2024 · External reference
Evaluation of atherosclerotic cardiovascular risk prediction models in China: results from the CHERRY study
10.1016/j.jacasi.2021.10.007 · 2022 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
10.1038/s41591-020-1041-y · 2020 · External reference
Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program)
2021 · External reference
Developing clinical prediction models: a step-by-step guide
10.1136/bmj-2023-078276 · 2024 · External reference
A simple, step-by-step guide to interpreting decision curve analysis
10.1186/s41512-019-0064-7 · 2019 · External reference