Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer

Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer

Breast cancer is one of the leading causes of death in females and survival depends on early diagnosis and treatment. This paper applied machine learning techniques in prediction of breast cancer survival (dead or alive) using age, sex, length of stay, mode of diagnosis and location of cancer as predictors (independent variables). The data was obtained from the outpatient department of the...
 
Published at Health and Technology
Published in 2021
 
 
visit (https://link.springer.com/article/10.1007/s12553-021-00572-4)
 
 
H.I. Okagbue; P.I. Adamu; P.E. Oguntunde; E.C.M. Obasi; O.A. Odetunmibi
Okagbue Hilary Izuchukwu » Hilary Izuchukwu Okagbue Obtained his B.Tech, M.Sc and Ph.D. degrees in Industrial Mathematics and Statistics from the Federal University of Technology, Owerri, University of Lagos, Covenant University in 2007, 2010 and 2019 respectively. His research interests include Data Analysis, Mathematical Statistics, Mathematical Cryptography and analysis of patterns in number theory. view full profile
Okagbue Hilary Izuchukwu
 
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A Semi-analytical Method for Solutions of a Certain Class of Ordinary Differential Equations
 
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On Numerical Solutions of Systems of Ordinary Differential Equations by Numerical-Analytical Method
 
Using the Average of the Extreme Values of a Triangular Distribution for a Transformation, and Its Approximant via the Continuous Uniform Distribution
 
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Numerical Solution of Two-Point Boundary Value Problems via Differential Transform Method
 
Numerical Solutions of Nonlinear Biochemical Model Using a Hybrid Numerical- Analytical Technique
 
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On the Use of Some Selected Estimators in the Computation of Interactions in a Moderated Multiple Regression of a Masked Survey Data
 
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Optimization of Urban Rail Transportation in Emerging Countries Using Operational Research Techniques
 
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Correspondence Analysis for the Trend of Human African Trypanosomiasis
 
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Datasets on the statistical and algebraic properties of primitive Pythagorean triples
 
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