Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network

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Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network

机译：腹腔镜套管胃切除术后三十天发病率和死亡率的预测：人工神经网络数据

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Background Multiple patient factors may convey increased risk of 30-day morbidity and mortality after laparoscopic vertical sleeve gastrectomy (LVSG). Assessing the likelihood of short-term morbidity is useful for both the bariatric surgeon and patient. Artificial neural networks (ANN) are computational algorithms that use pattern recognition to predict outcomes, providing a potentially more accurate and dynamic model relative to traditional multiple regression. Using a comprehensive national database, this study aims to use an ANN to optimize the prediction of the composite endpoint of 30-day readmission, reoperation, reintervention, or mortality, after LVSG.

机译：背景技术多重患者因素可以在腹腔镜垂直套管胃切除术（LVSG）后，在30天发病率和死亡率的风险增加。评估短期发病率的可能性对畜牧外科医生和患者有用。人工神经网络（ANN）是使用模式识别来预测结果的计算算法，提供相对于传统多元回归的潜在更准确和动态的模型。本研究采用全面的国家数据库，旨在使用ANN优化LVSG后30天储存，重组，重新入住或死亡率的复合终点的预测。

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《Surgical Endoscopy》 |2020年第8期|共7页
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正文语种 eng
中图分类诊断学;
关键词
Bariatric surgery; Sleeve gastrectomy; MBSAQIP; Clinical outcomes; Artificial neural networks;

机译：牛肝外科;袖子胃切除术;MBSAQIP;临床结果;人工神经网络;

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1. Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network [J] . Surgical Endoscopy . 2020,第8期

机译：腹腔镜套管胃切除术后三十天发病率和死亡率的预测：人工神经网络数据
2. Thirty-Day Morbidity and Mortality of the Laparoscopic Ileal Interposition Associated with Sleeve Gastrectomy for the Treatment of Type 2 Diabetic Patients with BMI <35: An Analysis of 454 Consecutive Patients [J] . Aureo L. DePaula, Alessandro Stival, Alfredo Halpern, World Journal of Surgery . 2011,第1期

机译：腹腔镜下回肠介入联合袖式胃切除术治疗BMI <35的2型糖尿病患者的30天发病率和死亡率：454例连续患者的分析
3. Early morbidity and mortality of laparoscopic sleeve gastrectomy and gastric bypass in the elderly: A NSQIP analysis [J] . SpaniolasK., TrusT.L., AdralesG.L., Surgery for obesity and related diseases: official journal of the American Society for Bariatric Surgery . 2014,第4期

机译：老年人腹腔镜袖胃切除术和胃搭桥术的早期发病率和死亡率：NSQIP分析
4. PREDICTION OF ICU IN-HOSPITAL MORTALITY USING ARTIFICIAL NEURAL NETWORKS [C] . Henian Xia, Nathan Keeney, Brian J. Daley, ASME annual dynamic systems and control conference . 2014

机译：使用人工神经网络预测ICU住院死亡率
5. A comparison of mortality prediction models for neonatal intensive care patients using artificial neural networks and case-based reasoning. [D] . Khan, Saadia. 2006

机译：使用人工神经网络和基于案例的推理对新生儿重症监护患者的死亡率预测模型的比较。
6. First Report from the American College of Surgeons -- Bariatric Surgery Center Network: Laparoscopic Sleeve Gastrectomy has Morbidity and Effectiveness Positioned Between the Band and the Bypass [O] . Matthew M. Hutter, Bruce D. Schirmer, Daniel B. Jones, -1

机译：第一次报告从美国外科学院 - 减肥手术中心网络：腹腔镜胃切除术具有发病率和有效性乐队和旁路之间定位
7. Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data [O] . 2005

机译：基于初始临床数据的人工神经网络和逻辑回归模型在预测颅脑外伤死亡率中的比较

Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network

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