首页|First Affiliated Hospital of Air Force Medical University Reports Findings in Re operation (Development and Validation of a Machine Learning-Based Nomogram for P rediction of Unplanned Reoperation Postspinal Surgery Within 30 Days)
First Affiliated Hospital of Air Force Medical University Reports Findings in Re operation (Development and Validation of a Machine Learning-Based Nomogram for P rediction of Unplanned Reoperation Postspinal Surgery Within 30 Days)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Reoperation is the subject of a report. According to newsreporting from Xi’an, People’s Rep ublic of China, by NewsRx journalists, research stated, “Unplannedreoperation p ostspinal surgery (URPS) leads to prolonged hospital stays, higher costs, decrea sed patientsatisfaction, and adversely affects postoperative rehabilitation. Th is study aimed to develop and validateprediction models (nomograms) for early U RPS risk factors using machine learning methods, aidingspine surgeons in design ing prevention strategies, promoting early recovery, reducing complications, andimproving patient satisfaction.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesHealth and MedicineHospitalsMachine Learnin gOperative Surgical ProceduresReoperationRisk and PreventionSurgery
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