@incollection{, AD7C45ABE668E67DD99C5083258ED849 , author={{Saroj KumarGupta} and {Dr. Md. VaseemNaiyer} and {dr.annandakumar}}, journal={{Global Journal of Researches in Engineering}}, journal={{GJRE}}2249-45960975-586110.34257/gjre, address={Cambridge, United States}, publisher={Global Journals Organisation}2243946 } @incollection{b0, , title={{}} , journal={{Mayo Foundation for Medical Education and mResearch}} , publisher={MFMER} } @incollection{b1, , title={{Interpretable Machine Learning in Healthcare through Generalized Additive Model with Pairwise Interactions (GA2M): Predicting Severe Retinopathy of Prematurity*}} , author={{ TamerKaratekin }} , journal={{Iternational conference on deep learning}} , year={2019. 2019, 978-1-7281-2914-3/19} } @book{b2, , author={{ RatnaAminah }} , title={{Diabetes Prediction System Based on Iridology Using Machine Learning" 6th Int. Conf. on Information Tech., Computer, and Electrical Engineering (ICITACEE)}} Semarang, Indonesia , year={2019. Sep 26-27, 2019. 978-1-7281-2689-0/19} } @incollection{b3, , title={{Predicting Diabetes in Healthy Population through Machine Learning}} , author={{ AlicLejla }} , booktitle={{32 nd International Symposium on Computer-Based Medical Systems (CBMS)}} , publisher={IEEE} , year={2019. 2019} } @book{b4, , title={{A Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction}} , author={{ LintaAntony }} 10.1109/ACCESS.2021.3109168 , year={2021} , note={Digital Object Identifier} } @incollection{b5, , title={{Machine Learning Techniques for Classification of Diabetes and Cardiovascular Diseases}} , author={{ BerinaAli MECO }} 978-1-5090-6742-8/17 , booktitle={{6th Mediterranean Conference On Embedded Computing}} bar, montenegro , year={2017. JUNE 2017} } @incollection{b6, , title={{Application of Machine Learning Techniques to Web-Based Intelligent Learning Diagnosis System}} , author={{ Chenn-JungHuang }} HIS'04) 0-7695-2291-2/04 , booktitle={{Proceedings of the Fourth International Conference on Hybrid Intelligent Systems}} the Fourth International Conference on Hybrid Intelligent Systems } @incollection{b7, , title={{Diabetic prediction using machine learning algorithm}} , author={{ AishwaryaMujumdar }} , booktitle={{International conference on recent trends in advanced computing}} , publisher={Elsevier} , year={2019. Scince Direct, 2019. 2019} 165 } @incollection{b8, , title={{Application of Machine Learning Techniques to Web-Based Intelligent Learning Diagnosis System}} , author={{ Chenn-JungHuang }} , booktitle={{Fourth International Conference on Hybrid Intelligent Systems}} , year={0-7695-2291-2/04} } @incollection{b9, , title={{Prediction of Type 2 Diabetes using Machine Learning Classification Methods}} , author={{ Neha Prerna Tiggaa }} , booktitle={{Internati-onal Conference on Computational Intelligence and Data Science (ICCIDS 2019)}} , year={2019. 2020} 167 } @incollection{b10, , title={{Machine Learning and Data Mining Methods in Diabetes Research}} , author={{ IoannisKavakiotis }} , journal={{Computational and Structural Biotechnology Journal}} 15 , year={2017. 2017} , note={journal homepage: www.elsevier.com/locate/csbj} } @incollection{b11, , title={{Investigating Health-Related Features and Their Impact on the Prediction of Diabetes Using Machine Learning}} , author={{ AhmadEtHafiz Farooq } and { Al }} , journal={{Appl. Sci}} 2021 1173 , year={2021} } @book{b12, , title={{Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers}} , author={{ Md } and { Hasan }} 10.1109/ACCESS.2020.2989857 , year={2020. Received April 6, 2020, accepted April 18, 2020. April 23, 2020} , note={date of current version May 7, 2020. Digital Object Identifier} } @book{b13, , title={{Use of Non-invasive Parameters and Machine-Learning Algorithms for Predicting Future Risk of Type 2 Diabetes: A Retrospective Cohort Study of Health Data From Kuwait}} , author={{ Bassam Farran }} 10.3389/fendo.2019.00624 , year={2019. September 2019} } @incollection{b14, , title={{Multi-Output Support Vector Machine Regression and Its Online Learning}} , author={{ HuGensheng }} 978- 0-7695-3336-0/08 , booktitle={{2008 International Conference on Computer Science and Software Engineering}} , year={2008} } @book{b15, , title={{A Smart Architecture for Diabetic Patient Monitoring Using Machine Learning Algorithms}} , author={{ AmineRghioui }} 10.3390/healthcare8030348 , year={2020} , note={Healthcare 2020, 8, pp 348} } @book{b16, , title={{Evaluating Machine Learning Methods for Predicting Diabetes among Female Patients in Bangladesh}} , author={{ BadiuzzamanPranto }} 10.3390/info11080374 , note={Information 2020, 11, pp 374} } @incollection{b17, , title={{Diabetes Predicting mHealth Application Using Machine Learning}} , author={{ Nabila Shahnaz Khan }} , booktitle={{2017 IEEE International WIE Conference on Electrical and Computer Engineering}} Dehradun, India , year={2017. 18-19 December 2017} WIECON-ECE } @incollection{b18, , title={{Application of Machine Learning Algorithms on Diabetic Retinopathy}} , author={{ RidamPal }} , booktitle={{2nd IEEE International Conference On Recent Trends In Electronics Information & Communication Technology}} India , publisher={IEEE} , year={2017. 2017. May 19-20, 2017. 2017} } @incollection{b19, , title={{Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices}} , author={{ SRajsavi } and { Anand }} PMC5961793 , journal={{AMIA Jt Summits Transl Sci Proc}} , year={2018. 2018. 2018. 2018 May 18} , note={Published online} } @incollection{b20, , title={{Noise Load Adaptive Filter Using Neural Network}} , author={{ Saroj Kumar Gupta }} 978-0-7695-3958-4/10 © 2010 IEEE , booktitle={{2010 International Conference on Data Storage and Data Engineering}} , year={2010} } @incollection{b21, , title={{Prediction of Diabetes Using Machine Learning Algorithms in Healthcare}} , author={{ SarwarMuhammad Azeem }} , booktitle={{Proceedings of the 24th International Conference on Automation & Computing}} the 24th International Conference on Automation & ComputingNewcastle upon Tyne, UK , year={2018. September 2018} Newcastle University } @incollection{b22, , title={{Diabetes Prediction Using Different Machine Learning Approaches}} , author={{ PriyankaSonar }} , booktitle={{Proceedings of the Third International Conference on Computing Methodologies and Communication (ICCMC 2019) IEEE Xplore Part Number: CFP19K25-ART}} the Third International Conference on Computing Methodologies and Communication (ICCMC 2019) IEEE Xplore Part Number: CFP19K25-ART , year={2019} ISBN } @book{b23, , title={{MobDBTest: A machine learning based system for predicting diabetes risk using mobile devices}} , author={{ Ms } and { Sowjanya }} 978-1-4799- 8047-5/15/$31.00_c , year={2015. 2015} , publisher={IEEE} } @incollection{b24, , title={{Prediction and Diagnosis of Diabetes Mellitus -A Machine Learning Approach}} , author={{ VVeena Vijayan }} , booktitle={{2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS) | 10-12}} Trivandrum , year={2015. December 2015} } @book{b25, , author={{ StephenMarsland } and { Book }} , title={{Machine Learning an algorithmic perspective}} , publisher={CRC Press} , note={second edition} }