首页|University of Toronto Reports Findings in Reoperation (Development of Machine Le arning Models for Predicting the 1-Year Risk of Reoperation After Lower Limb Onc ological Resection and Endoprosthetic Reconstruction Based on Data From the PARI TY ...)
University of Toronto Reports Findings in Reoperation (Development of Machine Le arning Models for Predicting the 1-Year Risk of Reoperation After Lower Limb Onc ological Resection and Endoprosthetic Reconstruction Based on Data From the PARI TY ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Reoperation is the subject of a report. According to news reporting from Toronto, Canada, by NewsRx journalists, research stated, “Oncological resection and reconstruction involving the lower extremities commonly lead to reoperations that impact patien t outcomes and healthcare resources. This study aimed to develop a machine learn ing (ML) model to predict this reoperation risk.” The news correspondents obtained a quote from the research from the University o f Toronto, “This study was conducted according to TRIPOD + AI. Data from the PAR ITY trial was used to develop ML models to predict the 1-year reoperation risk f ollowing lower extremity oncological resection and reconstruction. Six ML algori thms were tuned and calibrated based on fivefold cross-validation. The best-perf orming model was identified using classification and calibration metrics. The po lynomial support vector machine (SVM) model was chosen as the best-performing mo del. During internal validation, the SVM exhibited an AUC-ROC of 0.73 and a Brie r score of 0.17. Using an optimal threshold that balances all quadrants of the c onfusion matrix, the SVM exhibited a sensitivity of 0.45 and a specificity of 0. 81. Using a high-sensitivity threshold, the SVM exhibited a sensitivity of 0.68 and a specificity of 0.68. Total operative time was the most important feature f or reoperation risk prediction.”
TorontoCanadaNorth and Central Ameri caCyborgsEmerging TechnologiesHealth and MedicineMachine LearningOpera tive Surgical ProceduresReoperationSupport Vector MachinesSurgery
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