Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques

首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques

【24h】

Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques

机译：不同机器学习技术对抗结核药物诱导的肝毒性预测结果的比较

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Background: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.

机译：背景：该研究比较了人工神经网络的预测结果，支持抗结核药物诱导的肝毒性的肝毒性的抗结核病发生的预测结果。

著录项

来源
《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2020年第2020期|共7页
作者

展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Tuberculosis; Anti-tuberculosis drugs; Gene polymorphism; Artificial neural network; Support vector machine; Random forest; Feature selection;

机译：结核病;抗结核药物;基因多态性;人工神经网络;支持向量机;随机森林;特征选择;

相似文献

外文文献
中文文献
专利

1. Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques [J] . Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

机译：不同机器学习技术对抗结核药物诱导的肝毒性预测结果的比较
2. Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques [J] . Speiser Jaime Lynn, Karvellas Constantine J., Wolf Bethany J., Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2019,第期

机译：预测乙酰氨基酚诱导的急性肝功能衰竭患者的日常成果机学习技术
3. Predicting patient-reported outcomes following mastectomy and breast reconstruction: application of machine learning techniques to real patient data [J] . Sidey-Gibbons Chris, Mehara Babak, Nelson Jonas, Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation . 2019,第Suppla1期

机译：预测患者报告的乳房切除术和乳房重建后的结果：将机器学习技术应用于真实患者数据
4. Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT) [C] . Jin-ah Sim, Young Ho Yun MEDINFO . 2019

机译：使用患者报告的结果（PRO）测量来预测无病的肺癌存活，并使用五种机器学习技术（MLT）进行比较
5. A Comparison of Machine Learning Techniques to Predict University Rates [D] . Park, Samuel. 2019

机译：机器学习技术预测大学率的比较
6. Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project [O] . Sherif Sakr, Radwa Elshawi, Amjad M. Ahmed, 2017

机译：使用健身数据预测全因死亡率的机器学习技术比较：Henry Ford运动测试（FIT）项目
7. A comparison of machine learning techniques for predicting insemination outcome in Irish dairy cows [O] . Fenlon Caroline, OGrady Luke, Dunnion John, 2016

机译：用于预测爱尔兰奶牛授精结果的机器学习技术的比较

Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques

摘要

著录项

相似文献

相关主题

期刊订阅