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About Detection of Autism Spectrum Disorder (ASD) in Children and Adults Using Machine Learning
This document discusses using federated learning to detect autism spectrum disorder (ASD) in children and adults. Federated learning allows machine learning models to be trained on decentralized data across multiple institutions while keeping the data localized. The researchers applied federated learning to train logistic regression and support vector machine classifiers on four datasets containing over 600 records each of ASD patients. The models predicted ASD with 98% accuracy for children and 81% accuracy for adults, demonstrating the potential of federated learning for accurate ASD detection while preserving patient privacy and without transmitting sensitive data over networks.
Detailed Information
| Author: | ['diego.gomes2'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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