Ovarian Cancer Detection Using SMOTE-XGBoost Classifier Model-Reference-Cited by-同舟云学术

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Ovarian Cancer Detection Using SMOTE-XGBoost Classifier Model

Published:2023-12-29 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Prasher Shikha¹,Nelson Leema²,Sandhya Vasantha³

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Rajpura,Punjab,India

2. Chitkara University Institute of Engineering and Technology, Chitkara University,Rajpura,Punjab,India,140401

3. Vardhaman College of Engineering,Department of CSE,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442886.pdf?arnumber=10442886

Reference15 articles.

1. Gestational diabetes mellitus - A metabolic and reproductive disorder

2. Recognition of Leaf Disease Using Hybrid Convolutional Neural Network by Applying Feature Reduction

3. A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits

4. Efficient Automated Disease Diagnosis Using Machine Learning Models

5. Deep Learning Model for the Automatic Classification of White Blood Cells

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