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Did you mean cervical cancer vaccine learning (154 results)?
Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning.
Luo W. Luo W. Front Artif Intell. 2021 Jun 7;4:627369. doi: 10.3389/frai.2021.627369. eCollection 2021. Front Artif Intell. 2021. PMID: 34164615 Free PMC article. Review.
Cervical cancer is a very common and severe disease in women worldwide. Accurate prediction of its clinical outcomes will help adjust or optimize the treatment of cervical cancer and benefit the patients. Statistical models, various types of medical im
Cervical cancer is a very common and severe disease in women worldwide. Accurate prediction of its clinical outcomes will help
Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning.
Meza Ramirez CA, Greenop M, Almoshawah YA, Martin Hirsch PL, Rehman IU. Meza Ramirez CA, et al. Expert Rev Mol Diagn. 2023 May;23(5):375-390. doi: 10.1080/14737159.2023.2203816. Epub 2023 Apr 19. Expert Rev Mol Diagn. 2023. PMID: 37060617 Review.
AREAS COVERED: This review article explores the different spectroscopy techniques that have been used for the analysis of cervical cancer. Along with the extensive description of spectroscopic techniques, the various machine learning techniques are als …
AREAS COVERED: This review article explores the different spectroscopy techniques that have been used for the analysis of cervical
Machine Learning Assisted Cervical Cancer Detection.
Mehmood M, Rizwan M, Gregus Ml M, Abbas S. Mehmood M, et al. Front Public Health. 2021 Dec 23;9:788376. doi: 10.3389/fpubh.2021.788376. eCollection 2021. Front Public Health. 2021. PMID: 35004588 Free PMC article.
Cervical cancer growth is related to human papillomavirus (HPV) contamination. Early screening made cervical cancer a preventable disease that results in minimizing the global burden of cervical cancer. ...
Cervical cancer growth is related to human papillomavirus (HPV) contamination. Early screening made cervical cancer
Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics.
Nguyen TB, Do DN, Nguyen-Thi ML, Hoang-The H, Tran TT, Nguyen-Thanh T. Nguyen TB, et al. Comput Biol Med. 2022 Oct;149:105996. doi: 10.1016/j.compbiomed.2022.105996. Epub 2022 Aug 27. Comput Biol Med. 2022. PMID: 36049413
BACKGROUND: Recently, Inflammatory Bowel Disease (IBD) has been proven as a risk factor for the increasing incidence of cervical cancer (CC) development. In this study, we identify these potential hub genes and their significant pathways that commonly interact betwe …
BACKGROUND: Recently, Inflammatory Bowel Disease (IBD) has been proven as a risk factor for the increasing incidence of cervical c
Cervical cancer survival prediction by machine learning algorithms: a systematic review.
Rahimi M, Akbari A, Asadi F, Emami H. Rahimi M, et al. BMC Cancer. 2023 Apr 13;23(1):341. doi: 10.1186/s12885-023-10808-3. BMC Cancer. 2023. PMID: 37055741 Free PMC article.
The articles were screened twice based on the title and the abstract and checked again with the inclusion and exclusion criteria. The main inclusion criterion was machine learning algorithms for predicting cervical cancer survival. ...Finally, 15 varia …
The articles were screened twice based on the title and the abstract and checked again with the inclusion and exclusion criteria. The main i …
Machine learning-based prediction of survival prognosis in cervical cancer.
Ding D, Lang T, Zou D, Tan J, Chen J, Zhou L, Wang D, Li R, Li Y, Liu J, Ma C, Zhou Q. Ding D, et al. BMC Bioinformatics. 2021 Jun 16;22(1):331. doi: 10.1186/s12859-021-04261-x. BMC Bioinformatics. 2021. PMID: 34134623 Free PMC article.
The cervical cancer miRNA expression data was obtained from The Cancer Genome Atlas database. ...The pathways analysis indicated that the miRNAs used play roles involved in the regulation of cancer stem cells. CONCLUSION: A miRNAs-based machine
The cervical cancer miRNA expression data was obtained from The Cancer Genome Atlas database. ...The pathways analysis …
Use of Virus Genotypes in Machine Learning Diagnostic Prediction Models for Cervical Cancer in Women With High-Risk Human Papillomavirus Infection.
Xiao T, Wang C, Yang M, Yang J, Xu X, Shen L, Yang Z, Xing H, Ou CQ. Xiao T, et al. JAMA Netw Open. 2023 Aug 1;6(8):e2326890. doi: 10.1001/jamanetworkopen.2023.26890. JAMA Netw Open. 2023. PMID: 37531108 Free PMC article.
IMPORTANCE: High-risk human papillomavirus (hrHPV) is recognized as an etiologic agent for cervical cancer, and hrHPV DNA testing is recommended as the preferred method of cervical cancer screening in recent World Health Organization guidelines. ...OBJ …
IMPORTANCE: High-risk human papillomavirus (hrHPV) is recognized as an etiologic agent for cervical cancer, and hrHPV DNA test …
A Model for Predicting Cervical Cancer Using Machine Learning Algorithms.
Al Mudawi N, Alazeb A. Al Mudawi N, et al. Sensors (Basel). 2022 May 29;22(11):4132. doi: 10.3390/s22114132. Sensors (Basel). 2022. PMID: 35684753 Free PMC article.
A growing number of individuals and organizations are turning to machine learning (ML) and deep learning (DL) to analyze massive amounts of data and produce actionable insights. ...Cervical cancer is one of the most frequent diseases among women …
A growing number of individuals and organizations are turning to machine learning (ML) and deep learning (DL) to analyz …
A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William W, Ware A, Basaza-Ejiri AH, Obungoloch J. William W, et al. Comput Methods Programs Biomed. 2018 Oct;164:15-22. doi: 10.1016/j.cmpb.2018.05.034. Epub 2018 Jun 26. Comput Methods Programs Biomed. 2018. PMID: 30195423 Review.
This paper presents an overview of the state of the art as articulated in prominent recent publications focusing on automated detection of cervical cancer from pap-smear images. METHODS: The survey reviews publications on applications of image analysis and machin
This paper presents an overview of the state of the art as articulated in prominent recent publications focusing on automated detection of …
Machine learning-based statistical analysis for early stage detection of cervical cancer.
Ali MM, Ahmed K, Bui FM, Paul BK, Ibrahim SM, Quinn JMW, Moni MA. Ali MM, et al. Comput Biol Med. 2021 Dec;139:104985. doi: 10.1016/j.compbiomed.2021.104985. Epub 2021 Oct 28. Comput Biol Med. 2021. PMID: 34735942
Cervical cancer (CC) is the most common type of cancer in women and remains a significant cause of mortality, particularly in less developed countries, although it can be effectively treated if detected at an early stage. This study aimed to find efficient
Cervical cancer (CC) is the most common type of cancer in women and remains a significant cause of mortality, particula
505 results