Robson Ten Group Classification System Applied to Women with Severe Maternal Morbidity

Ferreira Elton Carlos; Costa Maria Laura; Cecatti Jose Guilherme; Haddad Samira M.; Parpinelli Mary Angela; Robson Michael S.

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Robson Ten Group Classification System Applied to Women with Severe Maternal Morbidity

机译：罗布森十组分类系统应用于重度产妇发病的妇女

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摘要

ObjectiveTo evaluate the distribution of women with severe maternal morbidity according to Robson Ten Group Classification System (RTGCS).

机译：目的根据罗布森十组分类系统（RTGCS）评估严重孕产妇发病的妇女分布。

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《Birth》 |2015年第1期|共10页
作者
Ferreira Elton Carlos; Costa Maria Laura; Cecatti Jose Guilherme; Haddad Samira M.; Parpinelli Mary Angela; Robson Michael S.;
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正文语种 eng
中图分类产科学;
关键词
cesarean delivery; classification of cesarean delivery; maternal near miss; severe maternal morbidity;

机译：剖宫产;剖宫产的分类;孕妇差点怀孕;严重的母亲发病;

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专利

1. Robson Ten Group Classification System Applied to Women with Severe Maternal Morbidity [J] . Ferreira Elton Carlos, Costa Maria Laura, Cecatti Jose Guilherme, Birth . 2015,第1期

机译：罗布森十组分类系统应用于重度产妇发病的妇女
2. Cesarean rates and severe maternal and neonatal outcomes according to the Robson 10-Group Classification System in Khon Kaen Province, Thailand [J] . Kankoon Natthapong, Lumbiganon Pisake, Kietpeerakool Chumnan, International journal of gynecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics . 2018,第2期

机译：据罗森10组分类系统泰国康森10组分类系统，剖腹产率和严重的孕产妇和新生儿结果
3. Classification of caesarean section based on Robson ten group classification system in our hospital [J] . Ari Sharma, Dipika Singh, Sarika Verma, International Journal of Reproduction, Contraception, Obstetrics and Gynecology . 2020,第10期

机译：基于Robson十组分类系统在医院的剖腹产分类
4. A Machine Learning Approach for Severe Maternal Morbidity Prediction at Rafael Calvo Clinic in Cartagena-Colombia [C] . Eugenia Arrieta Rodriguez, Fernando Lopez-Martinez, Juan Carlos Martinez Santos International conference on computer information systems and industrial management . 2020

机译：卡塔赫纳-哥伦比亚拉斐尔·卡尔沃诊所采用机器学习方法预测严重的母亲发病
5. Severe Maternal Morbidity in Florida: Risk Factors and Determinants of the Increasing Rate [D] . Womack, Lindsay S. 2017

机译：佛罗里达州严重的孕产妇发病率：风险因素和增长率的决定因素
6. Analysis of Cesarean Sections using Robson’s Ten Group Classification System [O] . Rashida Parveen, Mehnaz Khakwani, Anum Naz, 2021

机译：利用罗布森十组分类系统分析剖宫产
7. 594: The Ten Group Classification System used to assess maternal and perinatal morbidity and mortality; a 10-year cohort study in the Netherlands [O] . Loes Monen, Michael S. Robson, Victor J. Pop, 2016

机译：594：十组分类系统用于评估母体和围产期发病率和死亡率;在荷兰的一个10年的队列研究

Robson Ten Group Classification System Applied to Women with Severe Maternal Morbidity

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