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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18245
Article Published : 7789
Total Authors : 20583
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| Paper Title: | AI-ASSISTED BREAST CANCER PREDICTION |
| Authors Name: | S. Shanthi Sankari , S.Suganthi |
| Download E-Certificate: | Download |
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IJRTI_189594
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| Published Paper Id: | IJRTI2404056 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the National Breast Cancer foundation, in 2020 alone, more than 276,000 new cases of invasive breast cancer and more than 48,000 non-invasive cases were diagnosed in the US. To put these figures in perspective, 64% of these cases are diagnosed early in the disease’s cycle, giving patients a 99% chance of survival. In recent years, machine learning algorithms have shown promising results in assisting medical professionals with breast cancer prediction. This study explores the application of Support Vector Machine (SVM), Gradient Boost Classifier, and Stochastic Gradient Descent (SGD) Classifier for the prediction of breast cancer. To conduct this research, a comprehensive dataset containing clinical and histopathological features of breast cancer patients was collected. The dataset was preprocessed to handle missing values, normalize the features, and balance the class distribution. Three different classifiers, SVM, Gradient Boost Classifier, and SGD Classifier, were trained and evaluated using various performance metrics such as accuracy, precision, recall, and F1-score. |
| Keywords: | Support Vector Machine, Stochastic Gradient Descent, Gradient Boost Classifier |
| Cite Article: | "AI-ASSISTED BREAST CANCER PREDICTION", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.392 - 395, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404056.pdf |
| Downloads: | 000205086 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2404056
Registration ID:189594
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 392 - 395 Country: kovilpatti,thoothukudi, TamilNadu, India Research Area: Science Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404056 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404056 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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