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Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults
Published 2025-05-01“…The Brier score of the calibration curve was 0.103 (close to 0), and decision curve analysis indicated that the threshold probability of the model ranged from 0.01 to 0.8, with net benefits greater than 0 across all probabilities, suggesting the model has good accuracy and clinical utility.Conclusion: We identified six important predictors—ASA grade, ICU admission, preoperative anemia, CKMB, BNP, and postoperative AST levels—and developed a risk prediction model for postoperative pneumonia following hip arthroplasty in older adults, providing a valuable reference for its prevention in this population.Keywords: arthroplasty, replacement, hip, pneumonia, risk factors, prediction algorithms, aged…”
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Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study
Published 2025-06-01“…Furthermore, DCA revealed that the RF model provided the highest net benefit in predicting postoperative agoraphobia in lung cancer patients. This study demonstrates that machine learning models—particularly the RF algorithm—hold substantial promise for predicting kinesiophobia in postoperative lung cancer patients. …”
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The Maintenance Algorithm of Patients with Myopia and the Risk of Asthenopia after Keratorefractive Surgery
Published 2020-11-01Get full text
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Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms
Published 2024-11-01“…Finally, the study employed LIME for more precise prediction and interpretation of individual predictions.ConclusionThe machine learning algorithms effectively predicted postoperative lower limb deep vein thrombosis in colorectal cancer patients. …”
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Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms
Published 2025-07-01“…Abstract Background With the aging demographic on the rise, we’re seeing a spike in the occurrence of postoperative delirium (POD). Our research aims to delve into the connection between plasma bilirubin levels and postoperative delirium, with the goal of crafting ten machine learning (ML) models capable of predicting POD instances. …”
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Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch...
Published 2025-08-01“…Summary: Background: Early identification and prediction of postoperative pulmonary complications (PPCs) are vital for patient management in lung cancer (LC) surgery. …”
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Early postoperative seizures in liver and kidney recipients
Published 2021-07-01Get full text
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Modern Aspects of the Treatment of Acute Bacterial Postoperative Endophthalmitis
Published 2017-03-01Get full text
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SIMULTANEOUS PANCREAS-KIDNEY TRANSPLANTATION: EARLY POSTOPERATIVE COMPLICATIONS
Published 2014-05-01Get full text
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AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP)
Published 2022-07-01“…Machine learning and its applications provide significant contributions to pain research. The aim of this study is to predict the POCP status of patients based on perioperative data by developing an “Intelligent POCP Prediction System (I-POCPP)” using the best performing machine learning algorithm. …”
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PHYSIOTHERAPY MANAGEMENT IN PATIENTS IN THE EARLY POSTOPERATIVE PERIOD IN THE ORTHOPAEDIC-TRAUMALOGICAL PRACTICE
Published 2025-05-01“…The effectiveness of the proposed algorithm should be investigated in future research.…”
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Postoperative Neurocognitive Disorders: the Legacy of Almost 400 Years of History (Review)
Published 2023-08-01Get full text
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Morphologic Versions of Postoperative Opacities of the Lens Capsule in Contemporary Cataract Surgery (Working Classification)
Published 2018-10-01“…The obtained specimens have been researched with the method of semithin sections. Results. …”
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