Vote for your favorite mineral in #MinCup25! - Carpathite vs. Leucite
Brace for oddness in a match between one of the very few hydrocarbon minerals carpathite and the temperature-flipping mineral leucite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

A, Oyewo O., O.K, Boyinbode (2020) Prediction of Prostate Cancer using Ensemble of Machine Learning Techniques. International Journal of Advanced Computer Science and Applications, 11. doi:10.14569/ijacsa.2020.0110318

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePrediction of Prostate Cancer using Ensemble of Machine Learning Techniques
JournalInternational Journal of Advanced Computer Science and Applications
AuthorsA, Oyewo O.Author
O.K, BoyinbodeAuthor
Year2020Volume11
PublisherThe Science and Information Organization
DOIdoi:10.14569/ijacsa.2020.0110318Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10374017Long-form Identifiermindat:1:5:10374017:3
GUID0
Full ReferenceA, Oyewo O., O.K, Boyinbode (2020) Prediction of Prostate Cancer using Ensemble of Machine Learning Techniques. International Journal of Advanced Computer Science and Applications, 11. doi:10.14569/ijacsa.2020.0110318
Plain TextA, Oyewo O., O.K, Boyinbode (2020) Prediction of Prostate Cancer using Ensemble of Machine Learning Techniques. International Journal of Advanced Computer Science and Applications, 11. doi:10.14569/ijacsa.2020.0110318
In(n.d.) International Journal of Advanced Computer Science and Applications Vol. 11. The Science and Information Organization

See Also

These are possibly similar items as determined by title/reference text matching only.

Alajmani, Samah, Elazhary, Hanan (2019) Hospital Readmission Prediction using Machine Learning Techniques. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100425
Alzboon, Mowafaq Salem, Al-Batah, Mohammad Subhi (2023) Prostate Cancer Detection and Analysis using Advanced Machine Learning. International Journal of Advanced Computer Science and Applications, 14 (8) doi:10.14569/ijacsa.2023.0140843
Javid, Irfan, Khalaf, Ahmed, Ghazali, Rozaida (2020) Enhanced Accuracy of Heart Disease Prediction using Machine Learning and Recurrent Neural Networks Ensemble Majority Voting Method. International Journal of Advanced Computer Science and Applications, 11. doi:10.14569/ijacsa.2020.0110369
Alsmariy, Riham, Healy, Graham, Abdelhafez, Hoda (2020) Predicting Cervical Cancer using Machine Learning Methods. International Journal of Advanced Computer Science and Applications, 11 (7) doi:10.14569/ijacsa.2020.0110723
Alshiddy, Muneera Saad, Aljaber, Bader Nasser (2023) Employee Attrition Prediction using Nested Ensemble Learning Techniques. International Journal of Advanced Computer Science and Applications, 14 (7) doi:10.14569/ijacsa.2023.01407101
Alajmani, Samah, Jambi, Kamal (2020) Assessing Advanced Machine Learning Techniques for Predicting Hospital Readmission. International Journal of Advanced Computer Science and Applications, 11. doi:10.14569/ijacsa.2020.0110249
Mazen, Tamer Sh. (2020) A Novel Machine Learning based Model for COVID-19 Prediction. International Journal of Advanced Computer Science and Applications, 11 (11) doi:10.14569/ijacsa.2020.0111166
Sumathi, Ms., B., Dr. (2016) Prediction of Mental Health Problems Among Children Using Machine Learning Techniques. International Journal of Advanced Computer Science and Applications, 7. doi:10.14569/ijacsa.2016.070176
Ahmad, Wirawati Dewi, Abu, Azuraliza (2020) Ensemble Machine Learning Model for Higher Learning Scholarship Award Decisions. International Journal of Advanced Computer Science and Applications, 11 (5) doi:10.14569/ijacsa.2020.0110540
Luo, Shengping (2023) Lung Cancer Classification using Reinforcement Learning-based Ensemble Learning. International Journal of Advanced Computer Science and Applications, 14 (8) doi:10.14569/ijacsa.2023.01408120
Islam, Tamanna, Akhi, Amatul Bushra, Akter, Farzana, Hasan, Md. Najmul, Lata, Munira Akter (2023) Prediction of Breast Cancer using Traditional and Ensemble Technique: A Machine Learning Approach. International Journal of Advanced Computer Science and Applications, 14 (6) doi:10.14569/ijacsa.2023.0140692
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 6, 2025 11:46:42
Go to top of page