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Title: :  Cancer prediction in early stages using supervised learning
PaperId: :  23562
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23562
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
MANDALA POOJITHA Siddharth institute of Engineering and Technology
R YASWITHA Siddharth institute of Engineering and Technology
S CHANDRAHSANSiddharth institute of Engineering and Technology
SANGARAJU VAMSI KRISHNASiddharth institute of Engineering and Technology
PAIDIMUDDALA RAJESH Siddharth institute of Engineering and Technology
B RAJA KUMARSiddharth institute of Engineering and Technology

Abstract

Computer science and Information Technology
Machine Learning, Random Forest, Logistic Regression, Decision Tree, Ml Techniques ,evaluation
Cancer is a disease characterized by the uncontrolled growth and spread of abnormal cells. Early detection and diagnosis of cancer are essential for successful treatment and management of the disease. Machine learning (ML) is a promising approach that can assist in predicting cancer at an early stage, which can lead to better patient outcomes. Several ML algorithms have been applied to predict cancer in its early stages, including decision trees, support vector machines, neural networks, and random forests. These algorithms can be trained on various types of data, including genomic, proteomic, and imaging data. Genomic data can provide important information about gene expression patterns, DNA mutations, and other molecular features of cancer cells. Proteomic data can provide insights into the protein expression patterns that may be indicative of cancer. Imaging data, such as CT and MRI scans, can also provide valuable information about the presence and extent of cancerous lesions. Overall, ML has shown promise as a tool for predicting cancer in its early stages. As the field of ML continues to evolve and improve, it is likely that these algorithms will become even more accurate and reliable in predicting cancer.

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IJARIIE MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR. "Cancer prediction in early stages using supervised learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 5328-5336
MLA MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR. "Cancer prediction in early stages using supervised learning." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 5328-5336.
APA MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , & B RAJA KUMAR. (2024). Cancer prediction in early stages using supervised learning. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 5328-5336.
Chicago MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR. "Cancer prediction in early stages using supervised learning." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 5328-5336.
Oxford MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR. 'Cancer prediction in early stages using supervised learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 5328-5336. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Cancer_prediction_in_early_stages_using_supervised_learning_ijariie23562.pdf (Accessed : ).
Harvard MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR. (2024) 'Cancer prediction in early stages using supervised learning', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 5328-5336IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Cancer_prediction_in_early_stages_using_supervised_learning_ijariie23562.pdf (Accessed : )
IEEE MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR, "Cancer prediction in early stages using supervised learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 5328-5336, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Cancer_prediction_in_early_stages_using_supervised_learning_ijariie23562.pdf [Accessed : ].
Turabian MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR. "Cancer prediction in early stages using supervised learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver MANDALA POOJITHA , R YASWITHA , S CHANDRAHSAN, SANGARAJU VAMSI KRISHNA, PAIDIMUDDALA RAJESH , and B RAJA KUMAR. Cancer prediction in early stages using supervised learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 5328-5336. Available from: https://ijariie.com/AdminUploadPdf/Cancer_prediction_in_early_stages_using_supervised_learning_ijariie23562.pdf
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