摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-外科新研究-再手术是一篇报道的主题。据新闻报道NewsRx记者从中国人民代表大会西安报道，研究称，"计划外"脊柱再手术(URPS)导致住院时间延长，费用增加，病人减少满意度，对术后康复有不利影响。这项研究旨在开发和验证使用机器学习方法的早期URPS风险因素预测模型（诺模图），辅助脊柱外科医生设计预防策略，促进早期康复，减少并发症，以及提高病人满意度"。
Abstract
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.”
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