1
Bharati Vidyapeeth’s College of Engineering, GGSIPU, Delhi, INDIA
(guptanandini12345@gmail.com)
2
Bharati Vidyapeeth’s College of Engineering, GGSIPU, Delhi, INDIA
(shubhangimalik28@gmail.com)
3
Bharati Vidyapeeth’s College of Engineering, GGSIPU, Delhi, INDIA
(hardikchawla111@gmail.com)
4
Bharati Vidyapeeth’s College of Engineering, GGSIPU, Delhi, INDIA
(kaur.surinder@bharatividyapeeth.edu)
Abstract :
Diabetes nowadays is a familiar and long-term disease. If a prediction is made early, better treatment can be provided. The preprocessing data approach is extremely useful in predicting the disease at an early stage. "Many tools are used in determining significant characteristics such as selection, Prediction, and association rule mining for diabetes. The principal component analysis method was used to select significant attributes. Our judgments denote a strong association of diabetes with body mass indicator (BMI) and glucose degree. The study implemented logistic regression, decision trees, and ANN techniques to process Pima Indian diabetes datasets and predict whether people at risk have diabetes. It was analyzed that random forest had the best accuracy of 80.52 %. Out of 500 negative records & 268 positive records, our model correctly analyzed 403 records & 216 records, respectively.
Keywords :
Body Mass Indicator; Artificial Neural Network; Logistic Regression; Random Forest
References :
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| Style | # |
|---|---|
| MLA | Nandini Gupta, Shubhangi Malik , Hardik Chawla , Surinder Kaur. "Diabetes prediction system using ml & dl techniques." Fusion: Practice and Applications, Vol. 1, No. 2, 2020 ,PP. 49-65 (Doi : https://doi.org/10.54216/FPA.010201) |
| APA | Nandini Gupta, Shubhangi Malik , Hardik Chawla , Surinder Kaur. (2020). Diabetes prediction system using ml & dl techniques. Journal of Fusion: Practice and Applications, 1 ( 2 ), 49-65 (Doi : https://doi.org/10.54216/FPA.010201) |
| Chicago | Nandini Gupta, Shubhangi Malik , Hardik Chawla , Surinder Kaur. "Diabetes prediction system using ml & dl techniques." Journal of Fusion: Practice and Applications, 1 no. 2 (2020): 49-65 (Doi : https://doi.org/10.54216/FPA.010201) |
| Harvard | Nandini Gupta, Shubhangi Malik , Hardik Chawla , Surinder Kaur. (2020). Diabetes prediction system using ml & dl techniques. Journal of Fusion: Practice and Applications, 1 ( 2 ), 49-65 (Doi : https://doi.org/10.54216/FPA.010201) |
| Vancouver | Nandini Gupta, Shubhangi Malik , Hardik Chawla , Surinder Kaur. Diabetes prediction system using ml & dl techniques. Journal of Fusion: Practice and Applications, (2020); 1 ( 2 ): 49-65 (Doi : https://doi.org/10.54216/FPA.010201) |
| IEEE | Nandini Gupta, Shubhangi Malik, Hardik Chawla, Surinder Kaur, Diabetes prediction system using ml & dl techniques, Journal of Fusion: Practice and Applications, Vol. 1 , No. 2 , (2020) : 49-65 (Doi : https://doi.org/10.54216/FPA.010201) |