A predictive model for recurrence in patients with glottic cancer implemented in a mobile application for Android

Gabriela Jover-Espla Ana; Palazon-Bru Antonio; Manuel Folgado-de la Rosa David; Severa-Ferrandiz Guillermo; Sancho-Mestre Manuela; de Juan-Herrero Joaquin; Francisco Gil-Guillen Vicente

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A predictive model for recurrence in patients with glottic cancer implemented in a mobile application for Android

机译：用于Android在移动申请中实施韵律癌症患者复发的预测模型

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Objectives: The existing predictive models of laryngeal cancer recurrence present limitations for clinical practice. Therefore, we constructed, internally validated and implemented in a mobile application (Android) a new model based on a points system taking into account the internationally recommended statistical methodology.

机译：目的：肝脏癌症复发的现有预测模型对临床实践的限制。因此，我们在移动应用程序（Android）内部验证和实施的基于考虑到国际推荐的统计方法的点系统构建，在移动应用程序（Android）中实现了新模型。

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来源
《Oral oncology》 |2018年第2018期|共7页
作者
Gabriela Jover-Espla Ana; Palazon-Bru Antonio; Manuel Folgado-de la Rosa David; Severa-Ferrandiz Guillermo; Sancho-Mestre Manuela; de Juan-Herrero Joaquin; Francisco Gil-Guillen Vicente;
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作者单位

Gen Univ Hosp Alicante Dept Otolaryngol Alicante Spain;

Miguel Hernandez Univ Dept Clin Med Carretera Valencia Alicante S-N Alicante 03550 Spain;

Gen Univ Hosp Alicante Dept Otolaryngol Alicante Spain;

Gen Univ Hosp Alicante Dept Otolaryngol Alicante Spain;

Gen Univ Hosp Alicante Dept Otolaryngol Alicante Spain;

Univ Alicante Dept Biotechnol Alicante Spain;

Miguel Hernandez Univ Dept Clin Med Carretera Valencia Alicante S-N Alicante 03550 Spain;

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原文格式 PDF
正文语种 eng
中图分类耳鼻咽喉科学;
关键词
Laryngeal neoplasms; Recurrence; Models; Statistical; Mobile applications;

机译：喉肿瘤;复发;模型;统计;移动应用;

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专利

1. A predictive model for recurrence in patients with glottic cancer implemented in a mobile application for Android [J] . Gabriela Jover-Espla Ana, Palazon-Bru Antonio, Manuel Folgado-de la Rosa David, Oral oncology . 2018,第期

机译：用于Android在移动申请中实施韵律癌症患者复发的预测模型
2. Android based Naive Bayes probabilistic detection model for breast cancer and Mobile Cloud Computing: Design and Implementation [J] . George Gatuha, Tao Jiang International journal of engineering research in Africa . 2016,第期

机译：基于Android的Naive Bayes乳腺癌和移动云计算概率检测模型：设计与实现
3. Models predicting non-sentinel node involvement also predict for regional recurrence in breast cancer patients without axillary treatment [J] . PepelsM.J.A.E., VestjensJ.H.M.J., DeBoerM., European Journal of Surgical Oncology: The Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology . 2013,第12期

机译：预测非前哨淋巴结受累的模型还可以预测未经腋窝治疗的乳腺癌患者的局部复发
4. A Novel Application for Combining CASs and Datasets to Produce Increased Accuracy in Modeling and Predicting Cancer Recurrence [C] . John Norris, Erin Barns, Olivia Schultz, Conference on Complex Adaptive Systems . 2013

机译：结合CASS和数据集的新应用程序在建模和预测癌症复发中产生提高的准确性
5. Constructing gene expression based prognostic models to predict recurrence and lymph node metastasis in colon cancer. [D] . Mettu, Ramakanth Reddy. 2008

机译：构建基于基因表达的预后模型，以预测结肠癌的复发和淋巴结转移。
6. Implementing Systems Modelling and Molecular Imaging to Predict the Efficacy of BCL-2 Inhibition in Colorectal Cancer Patient-Derived Xenograft Models [O] . Alice C. O’Farrell, Monika A. Jarzabek, Andreas U. Lindner, 2020

机译：实施系统建模和分子成像以预测直肠癌患者衍生异种移植模型BCL-2抑制的疗效
7. Predictors of local recurrence of glottic cancer in patients after transoral laser microsurgery [O] . Chia-Fan Chang, Pen-Yuan Chu 2017

机译：经口激光显微手术后患者声门癌局部复发的预测因子

A predictive model for recurrence in patients with glottic cancer implemented in a mobile application for Android

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