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Predicting Diabetes: A Comparative Study of Machine Learnin..:

, In: 2023 OITS International Conference on Information Technology (OCIT),

Chakraborty, Srijita ; Panda, Amiya Ranjan ; Vadiya, Priyal... - p. 743-748 , 2023

Link: https://doi.org/10.1109/OCIT59427.2023.10431372

RT 
T1 <cTitle>2023 OITS International Conference on Information Technology (OCIT)</cTitle>: T1 <Title>Predicting Diabetes: A Comparative Study of Machine Learning Models</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10431372&Exemplar=1&LAN=DE
				
A1 Chakraborty, Srijita
A1 Panda, Amiya Ranjan
A1 Vadiya, Priyal
A1 Samal, Sayam
A1 Gupta, Ishita
A1 Ray, Niranjan Kumar
YR 2023
K1 Logistic regression
K1 Stochastic processes
K1 Static VAr compensators
K1 Predictive models
K1 Boosting
K1 Diabetes
K1 Random forests
K1 Pima Indian Heritage Diabetes Dataset
K1 XGB Classifier
K1 Stochastic Gradient Boosting Classifier
K1 Gradient Boosting Classifier
K1 Decision Tree Classifier
K1 AdaBoost Classifier
K1 SGD Classifier
K1 Logistic Regression
K1 KNeighborsClassifier
K1 Support Vector Classifier
K1 Random Forest Classifier
K1 ROC
K1 K-Nearest Neighbors Classifier
K1 Accuracy
SP 743
OP 748
LK http://dx.doi.org/https://doi.org/10.1109/OCIT59427.2023.10431372
DO https://doi.org/10.1109/OCIT59427.2023.10431372
SF ELIB - SuUB Bremen

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