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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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| Paper Title: | Breast Cancer Prediction using Machine Learning Algorithms |
| Authors Name: | Dr.Manoranjan Dash , M Deepshika Reddy , D Hruday Prabhath , P Amruth Chandra |
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IJRTI_189488
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| Published Paper Id: | IJRTI2404064 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Background: Breast cancer is considered one of the most common cancers in women caused by various clinical, lifestyle, social, and economic factors. Machine learning has the potential to predict breast cancer based on features hidden in data. Objective: This study aimed to predict breast cancer using different machine-learning approaches. Material and Methods: In this analytical study, the database, including 569 independent records. The random forest (RF), Decision tree (DT), SVM, Kmeans, Knn were used in this study. Models were trained with 6 features to measure the effectiveness of prediction analysis in predicting breast cancer. Conclusion: Combining multiple risk factors in modeling for breast cancer prediction could help the early diagnosis of the disease with necessary care plans. Collection, storage, and management of different data and intelligent systems based on multiple factors for predicting breast cancer are effective in disease management. |
| Keywords: | Machine learning, Random forest classifier, Decision Tree Classifier, Support Vector Machine, K-nearest neighbor, K-means |
| Cite Article: | "Breast Cancer Prediction using Machine Learning Algorithms", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.465 - 471, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404064.pdf |
| Downloads: | 000205286 |
| 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: IJRTI2404064
Registration ID:189488
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 465 - 471 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2404064 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2404064 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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