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@article{zhang2016introduction,
title={Introduction to machine learning: k-nearest neighbors},
author={Zhang, Zhongheng},
journal={Annals of translational medicine},
volume={4},
number={11},
year={2016},
publisher={AME Publications}
}
@article{zhang2017efficient,
title={Efficient kNN classification with different numbers of nearest neighbors},
author={Zhang, Shichao and Li, Xuelong and Zong, Ming and Zhu, Xiaofeng and Wang, Ruili},
journal={IEEE transactions on neural networks and learning systems},
volume={29},
number={5},
pages={1774--1785},
year={2017},
publisher={IEEE}
}
@article{kataria2013review,
title={A review of data classification using k-nearest neighbour algorithm},
author={Kataria, Aman and Singh, MD},
journal={International Journal of Emerging Technology and Advanced Engineering},
volume={3},
number={6},
pages={354--360},
year={2013}
}
@article{syriopoulos2023k,
title={k NN Classification: a review},
author={Syriopoulos, Panos K and Kalampalikis, Nektarios G and Kotsiantis, Sotiris B and Vrahatis, Michael N},
journal={Annals of Mathematics and Artificial Intelligence},
pages={1--33},
year={2023},
publisher={Springer}
}
@article{deng2016efficient,
title={Efficient kNN classification algorithm for big data},
author={Deng, Zhenyun and Zhu, Xiaoshu and Cheng, Debo and Zong, Ming and Zhang, Shichao},
journal={Neurocomputing},
volume={195},
pages={143--148},
year={2016},
publisher={Elsevier}
}
@article{ali2020diabetes,
title={Diabetes classification based on KNN},
author={Ali, AMEER and Alrubei, MOHAMMED and Hassan, LF Mohammed and Al-Ja'afari, M and Abdulwahed, Saif},
journal={IIUM Engineering Journal},
volume={21},
number={1},
pages={175--181},
year={2020}
}
@article{saxena2014diagnosis,
title={Diagnosis of diabetes mellitus using k nearest neighbor algorithm},
author={Saxena, Krati and Khan, Zubair and Singh, Shefali},
journal={International Journal of Computer Science Trends and Technology (IJCST)},
volume={2},
number={4},
pages={36--43},
year={2014},
publisher={Citeseer}
}
@inproceedings{panwar2016k,
title={K-nearest neighbor based methodology for accurate diagnosis of diabetes mellitus},
author={Panwar, Madhuri and Acharyya, Amit and Shafik, Rishad A and Biswas, Dwaipayan},
booktitle={2016 sixth international symposium on embedded computing and system design (ISED)},
pages={132--136},
year={2016},
organization={IEEE}
}
@article{suriya2023type,
title={Type 2 Diabetes Prediction using K-Nearest Neighbor Algorithm},
author={Suriya, S and Muthu, J Joanish},
journal={Journal of Trends in Computer Science and Smart Technology},
volume={5},
number={2},
pages={190--205},
year={2023}
}
@article{iparraguirre2023application,
title={Application of machine learning models for early detection and accurate classification of type 2 diabetes},
author={Iparraguirre-Villanueva, Orlando and Espinola-Linares, Karina and Flores Casta{\~n}eda, Rosalynn Ornella and Cabanillas-Carbonell, Michael},
journal={Diagnostics},
volume={13},
number={14},
pages={2383},
year={2023},
publisher={MDPI}
}
@inproceedings{khateeb2017efficient,
title={Efficient heart disease prediction system using K-nearest neighbor classification technique},
author={Khateeb, Nida and Usman, Muhammad},
booktitle={Proceedings of the international conference on big data and internet of thing},
pages={21--26},
year={2017}
}
@article{altamimi2024automated,
title={An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques},
author={Altamimi, Abdulaziz and Alarfaj, Aisha Ahmed and Umer, Muhammad and Alabdulqader, Ebtisam Abdullah and Alsubai, Shtwai and Kim, Tai-hoon and Ashraf, Imran},
journal={BMC Medical Research Methodology},
volume={24},
number={1},
pages={221},
year={2024},
publisher={Springer}
}
@article{theerthagiri2022diagnosis,
title={Diagnosis and classification of the diabetes using machine learning algorithms},
author={Theerthagiri, Prasannavenkatesan and Ruby, A Usha and Vidya, J},
journal={SN Computer Science},
volume={4},
number={1},
pages={72},
year={2022},
publisher={Springer}
}
@article{uddin2022comparative,
title={Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction},
author={Uddin, Shahadat and Haque, Ibtisham and Lu, Haohui and Moni, Mohammad Ali and Gide, Ergun},
journal={Scientific Reports},
volume={12},
number={1},
pages={6256},
year={2022},
publisher={Nature Publishing Group UK London}
}
@article{mucherino2009k,
title={K-nearest neighbor classification},
author={Mucherino, Antonio and Papajorgji, Petraq J and Pardalos, Panos M and Mucherino, Antonio and Papajorgji, Petraq J and Pardalos, Panos M},
journal={Data mining in agriculture},
pages={83--106},
year={2009},
publisher={Springer}
}
@article{boateng2020basic,
title={Basic tenets of classification algorithms K-nearest-neighbor, support vector machine, random forest and neural network: A review},
author={Boateng, Ernest Yeboah and Otoo, Joseph and Abaye, Daniel A},
journal={Journal of Data Analysis and Information Processing},
volume={8},
number={4},
pages={341--357},
year={2020},
publisher={Scientific Research Publishing}
}
@book{aggarwal2015data,
title={Data mining: the textbook},
author={Aggarwal, Charu C and others},
volume={1},
number={3},
year={2015},
publisher={Springer}
}