Prediction of Fetal Abnormalities at early stage with GradientBoosting and Polynomial Feature-Reference-Cited by-同舟云学术

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Prediction of Fetal Abnormalities at early stage with GradientBoosting and Polynomial Feature

Published:2022-10-03 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Khan Aayan¹,Singh Abhinay Kumar²,Datta M Lohith³,Bagepalli Apoorva Reddy⁴,Dinesh Poshitha⁵,Pokalkar Devanshi⁶

Affiliation:

1. Thakur College of Engineering & Technology,Department of Computer Engineering,Mumbai,India

2. Gandhi Institute For Technogical Advancement (GITA),Department of ECE,Odisha,India

3. NIE Institute of Technology,Department of Electronics and Communications Engineering (ECE),Mysore,Karnataka,India

4. Vellore Institute of Technology,Department of CSE,Tamil Nadu,India

5. Vidyavardhaka College of Engineering,Department of CSE,Karnataka,India

6. Mallareddy Engineering College,Department of Information Technology,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984157/9984211/09984319.pdf?arnumber=9984319

Reference32 articles.

1. An Intelligent System for Lung Cancer Diagnosis Using a New Genetic Algorithm Based Feature Selection Method

2. Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection

3. The value of sonography in early pregnancy for the detection of fetal abnormalities in an unselected population

4. Hyperparameter optimization;feurer;Machine Learning,2019

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