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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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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | Review of Lungs Cancer Prediction Using Machine Learning |
| Authors Name: | Saksham Gupta , Vikash Sharma , Yash Raj |
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| Author Reg. ID: |
IJRTI_204082
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| Published Paper Id: | IJRTI2505223 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | To improve patient health, lung cancer is a major cause for cancer-related death globally and it requires accurate diagnostic and prognostic technologies. Using its capacity to evaluate genetic and imaging data, machine learning has become a key method for predicting lung cancer. Support Vector Machines, Random Forest, Decision Trees, k-nearest neighbors, Logistic Regression are just a few of the machine learning algorithms that are used in this article along with their efficacy and applications. Both Decision Trees and Random Forest have work best for their interpretability and capacity to handle missing data, Decision Tree's hierarchical decision-making mechanism allows it to demonstrate great prediction accuracy. Using instance-based learning, KNN works well for smaller datasets, but the performance of KNN decreases when dealing with noisy data. Logistic Regression is still used as a standard by which to compare, especially when it comes to binary classification jobs. |
| Keywords: | Lung cancer, cancer-related death, machine learning, genetic data, predicting lung cancer, support vector machines, random forest, k-nearest neighbors, logistic regression, decision trees, prediction accuracy, instance-based learning, noisy data, binary classification. |
| Cite Article: | "Review of Lungs Cancer Prediction Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c227-c231, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505223.pdf |
| Downloads: | 000481 |
| 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: IJRTI2505223
Registration ID:204082
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c227-c231 Country: Greater Noida, Uttar Pradesh, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505223 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505223 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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