Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques.
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| Title: | Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques. |
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| Authors: | Aamir S; Department of Computer and Software Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan., Rahim A; Faculty of Science and Technology, University of Tromsø, Tromso, Norway., Aamir Z; Department of Data Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan., Abbasi SF; Department of Electrical Engineering, National University of Technology, Islamabad 44000, Pakistan., Khan MS; Department of Electrical Engineering, HITEC University, Taxila 47080, Pakistan., Alhaisoni M; Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia., Khan MA; Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.; Department of Computer Science, HITEC University, Taxila, Pakistan., Khan K; Department of Computer Science, Khurasan University, Jalalabad, Afghanistan., Ahmad J; School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK. |
| Source: | Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Aug 16; Vol. 2022, pp. 5869529. Date of Electronic Publication: 2022 Aug 16 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: eCollection Cited Medium: Internet ISSN: 1748-6718 (Electronic) Linking ISSN: 1748670X NLM ISO Abbreviation: Comput Math Methods Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1748-6718 |
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| DOI: | 10.1155/2022/5869529 |
