使用线性回归和机器学习算法预测子宫内膜癌的无病和总生存期

S. Insinga, V. Chiantera, F. Piva, L. Giannella, A. Ciavattini
{"title":"使用线性回归和机器学习算法预测子宫内膜癌的无病和总生存期","authors":"S. Insinga, V. Chiantera, F. Piva, L. Giannella, A. Ciavattini","doi":"10.36129/jog.2023.s05","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":35717,"journal":{"name":"Italian Journal of Gynaecology and Obstetrics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of disease-free and overall survival in endometrial cancer using linear regressions and machine learning algorithms\",\"authors\":\"S. Insinga, V. Chiantera, F. Piva, L. Giannella, A. Ciavattini\",\"doi\":\"10.36129/jog.2023.s05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":35717,\"journal\":{\"name\":\"Italian Journal of Gynaecology and Obstetrics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Italian Journal of Gynaecology and Obstetrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36129/jog.2023.s05\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Italian Journal of Gynaecology and Obstetrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36129/jog.2023.s05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Prediction of disease-free and overall survival in endometrial cancer using linear regressions and machine learning algorithms
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Italian Journal of Gynaecology and Obstetrics
Italian Journal of Gynaecology and Obstetrics Medicine-Obstetrics and Gynecology
CiteScore
1.60
自引率
0.00%
发文量
88
期刊介绍: Presentazione: E’ l’organo ufficiale della Società Italiana di Ginecologia e Ostetricia. Con cadenza trimestrale pubblica articoli originali su temi di anatomia, istologia, fisiologia, patologia, genetica e virologia dell’apparato genitale femminile. Propone, inoltre, casi clinici riguardanti valutazioni di tecniche chirurgiche e trattamenti terapeutici; editoriali e review; il punto di vista di eminenti autori su particolari tematiche sotto l’aspetto etico e clinico.
期刊最新文献
The ability of sFlt-1/PlGF ratio for preeclampsia characterization Longitudinal maternal bioimpedance analysis in pregnancies complicated by hypertensive disorders and/or foetal growth restriction The prognostic value of extremely high sFlt-1/PLGF in the progression of early onset severe preeclampsia Longitudinal changes oxidative stress markers and uterine arteries impedance in pregnancies complicated by hypertensive disorder of pregnancy and foetal growth restriction Foetal growth restriction and maternal hypertensive disorders: a case series from Udine
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1