Predictive Measurements of Diabetes Using Comparative Machine Learning algorithm-Reference-Cited by-同舟云学术

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Predictive Measurements of Diabetes Using Comparative Machine Learning algorithm

Published:2023-11-17 Issue: Volume:24 Page:1-5
ISSN:
Container-title:2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC)
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Author:

Ali Farida Ashraf¹,Mohapatra Srikanta Kumar²,Sarangi Prakash Kumar³,Mohanty Jayashree⁴,Sahu Premananda⁵,Sharma Ochin²

Affiliation:

1. Siksha ‘O’ Anusandhan (Deemed to be) University,Faculty of Engineering & Technology,Bhubaneswar,Odisha,India,751030

2. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

3. Vardhaman College of Engineering,Department of CSE(AI&ML),Hyderabad,India

4. Chandigarh University,Department Of CSE-AIT,Mohali,Punjab

5. Lovely Professional University,Department of CSE,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430417/10430480/10431480.pdf?arnumber=10431480

Reference17 articles.

1. Fine-Tuning Fuzzy KNN Classifier Based on Uncertainty Membership for the Medical Diagnosis of Diabetes

2. Detection of Diabetic Retinopathy based on Various Machine Learning Algorithms and Histogram Equalization

3. Efficient treatment of outliers and class imbalance for diabetes prediction

4. An optimization-based machine learning technique for smart home security using 5G

5. System identification using neuro fuzzy approach for IoT application;Pattanaik;Measurement: Sensors,2022

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