K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC)

O'Shea, Bailey

K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC)

dc.contributor.author	O'Shea, Bailey
dc.date.accessioned	2020-05-12T16:36:40Z
dc.date.available	2020-05-12T16:36:40Z
dc.date.issued	2020
dc.description.abstract	With the reoccurrence of unnecessary open surgeries on potential malignant tissue, there is a need for additional non-invasive tools oncologists and radiologists can utilize to help argue the reason behind performing surgical biopsies. Thus, machine learning algorithms (MLAs) have seen a great deal of attention to the classification of tissue malignancy. One major benefit rises in having the ability to utilize past accessible datasets to accurately predict/classify new data/patients with similar features. The purpose of this paper was to apply and assess two MLAs—k-nearest neighbor (KNN) and artificial neural network (ANN)—on classification accuracy of breast cancer (BC) malignancy. Importantly, features used for the MLAs are acquired from imaging modalities, solely. For this particular dataset, features seen to be extracted from medical images include clump thickness, uniformity of cell size, uniformity of cell shape and marginal adhesion. The optimal k-nearest neighbor and ANN hidden layer will be reported. After implementing and testing the two MLAs, the accuracy for the KNN and ANN were 100% at 132-nearest neighbors and 95.24% ± 0.224 respectively. Considering the performance across both MLAs, the optimal classification algorithm for this dataset is the KNN algorithm. Thus, allowing for the possibility of clinical use as an additional consultation tool.
dc.identifier.citation	Bailey, O'Shea. K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC). 2020.
dc.identifier.uri	https://hdl.handle.net/1920/11759
dc.language.iso	en_US
dc.rights	Attribution-ShareAlike 3.0 United States
dc.rights.uri	https://creativecommons.org/licenses/by-sa/3.0/us/
dc.subject	Machine Learning Algorithms
dc.subject	Cancer
dc.subject	Oncology
dc.subject	Artificial Neural Networks
dc.title	K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC)
dc.type	Other