Citation:

P. Mahalakshmi, P. Sangeetha, G. Harikrishnaveni, C. Dhivya, 2023. KNN Model for Cancer Prediction Using Stem Cells ESP Journal of Engineering & Technology Advancements  3(2): 95-100.

Abstract:

To develop a method for detecting and identifying the type of cancer using the k-nearest neighbor (KNN) algorithm. The KNN algorithm is a simple machine learning algorithm that classifies [1]-[3] an input sample based on the majority of its nearest neighbor in the training data. The KNN algorithm is trained on a large dataset of cancer patients and their corresponding diagnosis, and is then used to predict the type of cancer for a new patient based on their clinical and laboratory test results. The results of this study show that the KNN algorithm is able [4]- [13] to achieve high accuracy in detecting and identifying the type of cancer, making it a promising tool for supporting clinical decision-making in the early stages of cancer diagnosis.

References:

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[22] Nitin Sonaji Magar, Zafar Ul Hasan, Anand B.Humbe, 2023. "Design and Development of Optimized Cardiovascular Disease Prediction Model using Artificial Intelligence" ESP International Journal of Advancements In Science & Technology (ESP- IJAST) Volume 1, Issue 2 : 20-27

Keywords:

Classifies, Training Data, Diagnosis, Detecting and Identifying Cancer, KNN.