Progression of Disease Forecasting in Recurrence Cervical Cancer Using Logistic Regression-Reference-Cited by-同舟云学术

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Progression of Disease Forecasting in Recurrence Cervical Cancer Using Logistic Regression

Published:2023-11-22 Issue: Volume:14 Page:1050-1055
ISSN:
Container-title:2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
language:
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Author:

Geeitha S.¹,Renuka P.¹,Ramya S.²,Sinduja K.³

Affiliation:

1. M.Kumarasamy College of engineering,Department of Information Technology,Karur,India

2. Paavai engineering college,Deparment of Computer Science and Engineering,Nammakal,India

3. Sri Krishna College of engineering and technology,Department of Information Technology,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10394672/10394681/10395205.pdf?arnumber=10395205

Reference23 articles.

1. Selection of Treatment Regimens for Recurrent Cervical Cancer

2. A Model for Predicting Cervical Cancer Using Machine Learning Algorithms

3. Cervical Cancer Prediction through Different Screening Methods using Data Mining

4. Incorporating EBO-HSIC with SVM for Gene Selection Associated with Cervical Cancer Classification

5. Feasible analysis of gene expression –a computational based classification for breast cancer

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