Comparison of Classification Algorithms for Alzheimer’s Disease Prediction-Reference-Cited by-同舟云学术

Comparison of Classification Algorithms for Alzheimer’s Disease Prediction

Published:2022-11-25 Issue: Volume: Page:
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Container-title:2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC)
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Author:

Saxena Harshit¹,Joshi Divyansh¹,Singh Hari¹,Anand Rohit²

Affiliation:

1. Jaypee University of Information Technology,Computer Science & Engineering Department,Solan,Himachal Pradesh,India

2. G.B.Pant DSEU Okhla-1 Campus,ECE Department,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10053087/10053091/10053163.pdf?arnumber=10053163

Reference21 articles.

1. Accurate and effective data collection with minimum energy path selection in wireless sensor networks using mobile sinks;abdul sahib;Information Technology and Management,2020

2. Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis

3. Support Vector Machines: Theory and Applications

4. Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

5. AdaBoost typical algorithm and its application research;chengsheng;MATEC Web of Conferences,2017

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