Paper Title
EARLIER PREDICTION AND DETECTION OF CERVICAL CANCER USING BAGGING CLASSIFIER WITH LOGISTIC REGRESSION ALGORITHMS
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Registration ID: IJNRD_219693
Published ID: IJNRD2405117
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EARLIER PREDICTION AND DETECTION OF CERVICAL CANCER USING BAGGING CLASSIFIER WITH LOGISTIC REGRESSION ALGORITHMS
Abstract
CERVICAL CANCER is one of such diseases which cannot be diagnosed earlier stages but this symptom nature of the diseases has become the challenging for the patient researchers and practitioners. A human body usually produces millions of cells to replace the inactive and dead cells in the body. If this body. If this production of cell produces and predictably, they will turn into tumors. This type of cancer which will be formed of the service of women in their women. In this earlier stages if we diagnostic then it is to cure than risk factories high. The existing works focusing on stack enable algorithms. The using that they can identify In the proposed system proposing bagging classifier technique which takes heterogeneous base learners along with logistic regression, random forest and meta learners SVM algorithms are used for predicting the cervical cancer from various risk factors, the applying proposed algorithms data balancing and acquire the future knowledge extension can be done to improve to overall accuracy of final model. Imputation of missing values as to be consider for biopic variables.Various data balancing techniques work be implemented type-2 errors has been included.The computational time can be reduced compared to any other algorithms such as LR, KNN, DTD, RF.
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How To Cite (APA)
Dr D J Samatha Naidu & B. Haritha (May-2024). EARLIER PREDICTION AND DETECTION OF CERVICAL CANCER USING BAGGING CLASSIFIER WITH LOGISTIC REGRESSION ALGORITHMS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), b110-b115. https://ijnrd.org/papers/IJNRD2405117.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : b110-b115
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Paper Reg. ID: IJNRD_219693
Published Paper Id: IJNRD2405117
Research Area: Engineering
Author Type: Indian Author
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405117.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405117
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