My feature branch

STA6257_Project.Rproj

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 Version: 1.0
-ProjectId: 750cfe7e-2bcb-4f93-af01-9511e2811dcc
 
 RestoreWorkspace: Default
 SaveWorkspace: Default

eda.csv

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+Exploratory Data Analysis,Count
+Number of Nulls,0
+Missing Data,0
+Duplicate Rows,24206
+Total Rows,253680

knn_tuning_results.csv

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+

references.bib

@@ -1,62 +1,152 @@
-@article{adams2021topology,
-  title={Topology applied to machine learning: From global to local},
-  author={Adams, Henry and Moy, Michael},
-  journal={Frontiers in Artificial Intelligence},
+@article{zhang2016introduction,
+  title={Introduction to machine learning: k-nearest neighbors},
+  author={Zhang, Zhongheng},
+  journal={Annals of translational medicine},
   volume={4},
-  pages={668302},
-  year={2021},
-  publisher={Frontiers Media SA}
+  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{daffertshofer2004pca,
-  title={PCA in studying coordination and variability: a tutorial},
-  author={Daffertshofer, Andreas and Lamoth, Claudine JC and Meijer, Onno G and Beek, Peter J},
-  journal={Clinical biomechanics},
-  volume={19},
-  number={4},
-  pages={415--428},
-  year={2004},
+@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{wang2014,
-  title={Generalized estimating equations in longitudinal data analysis: a review and recent developments},
-  author={Wang, Ming},
-  journal={Advances in Statistics},
-  volume={2014},
-  year={2014},
-  publisher={Hindawi}
-}
-
-@Manual{R-base,
-  title = {R: A Language and Environment for Statistical
-           Computing},
-  author = {{R Core Team}},
-  organization = {R Foundation for Statistical Computing},
-  address = {Vienna, Austria},
-  year = {2019},
-  url = {https://www.R-project.org},
-}
-
-@book{efr2008,
-  title={Nonparametric Curve Estimation: Methods, Theory, and Applications},
-  author={Efromovich, S.},
-  isbn={9780387226385},
-  lccn={99013253},
-  series={Springer Series in Statistics},
-  url={https://books.google.com/books?id=mdoLBwAAQBAJ},
-  year={2008},
-  publisher={Springer New York}
-}
-@article{bro2014principal,
-  title={Principal component analysis},
-  author={Bro, Rasmus and Smilde, Age K},
-  journal={Analytical methods},
-  volume={6},
-  number={9},
-  pages={2812--2831},
+@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={Royal Society of Chemistry}
+  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}
+}
+
+