Early diabetes risk classification using supervised learning algorithms-Reference-Cited by-同舟云学术

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Early diabetes risk classification using supervised learning algorithms

Published:2023-05-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)
language:
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Author:

Deepa R¹,Sakthivadivel M²,Saravanakumar S³,Ganesh Karthikeyan V⁴,Madumitha S⁵

Affiliation:

1. CMR Institute of Technology,Department of ECE,Bangalore,India

2. Karpagam College of Engineering,Department of CSE,Coimbatore,India

3. Jain University,Department of CSE,Bangalore,India

4. Adithya Institute of Technology,Department of IT,Coimbatore,India

5. Sri Sairam Engineering College,Department of ICE,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10141668/10141583/10141713.pdf?arnumber=10141713

Reference18 articles.

1. Predicting risk of obesity and meal planning to reduce the obese in adulthood using artificial intelligence

2. Food Image-based diet recommendation framework to overcome PCOS problem in women using deep convolutional neural network

3. adabag: AnRPackage for Classification with Boosting and Bagging

4. Deep neural network for food image classification and nutrient identification: A systematic review

5. Food Image-based Nutritional Management System to Overcome Polycystic Ovary Syndrome using DeepLearning: A Systematic Review

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1. Feature Extraction and Classification Using Ensemble Method to Enhance Parkinson's Disease Prediction;2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS);2023-11-16

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