Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

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.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

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
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Secure Med: Enhancing Patient Privacy and Care Through BlockchainInformation TechnologyVivek madanlal jaiswal Download
Soil Health ManagementInformation Science and EngineeringDr. Sudheer Shetty Download
5G Technology and its Impact on IoT ApplicationsComputer engineeringEmani Maheswara Reddy Download
REVIEW ON IOT BASED SMART HOME SYSTEMInformation Science and EngineeringNandini Boragave Download
REVIEW PAPER ON 5G NETWORKINGComputer EngineeringMeghana Download
REVIEW PAPER ON CURRENT TECHNOLOGIES,FUTURE DIRECTIONS POLICY IMPLICATION IN AUTOMATIC VEHICLEENGINEERINGChethan H D Download
A Review on Artificial Intelligence in Cyber SecurityInformation Science and Engineering Chandana N M Download
A Review On Internet Of Things (Iot) In HealthcareInformation Science and Engineering Mr. Naveen G Download
An Overview on 3D Printing Technology: Technological, Materials, and ApplicationsInformation Science and EngineeringSannidhi K S Download
A REVIEW PAPER ON TEACHING COMPLEX COMPUTER NETWORK CONCEPTSInformation Science and EngineeringSateesh D S Download
Efficiency and Risks of E-votingMaster of Computer Applicationskartik Download
Artificial Intelligence in Health CareInformation Science and EngineeringM Rihan Download
EXPLORING 5G: CHALLENGES AND SECURITY ISSUES IN CELLULAR TECHNOLOGIESInformation Science And EngineeringAnagha Udupa Y N Download
A COMPARATIVE STUDY ON IPv4 AND IPv6 AND THE IMPLEMENTATION OF IPv6 FOR THE BETTERMENT OF PROTOCOLInformation Science and Engineering Chandana N M Download
A Review on Computer Network Security SystemInformation Science and Engineering Manjunath R Download
12