
Learning Disability Predictions using Machine Learning: A …
Learning Disability (LD) predictions refer to the use of machine learning algorithms to predict the likelihood of an individual having the risk of a learning disability. Machine learning algorithms can be trained on data from individuals with and without Dyslexia to identify the patterns in the dataset that are indicative of the condition.
Researchers use various methodologies, such as machine learning, image processing, brain science to study cerebrum behavior, and analyzing brain anatomy differences, to distinguish dyslexics from non-dyslexics.
Prediction of Learning Disability Using Machine Learning
Machine Learning algorithms can be useful in predicting learning disabilities because they can analyse large amounts of data quickly and accurately, and they can identify patterns that may not be apparent to human observers.
Application of Machine Learning Techniques for Improving Learning …
Dec 1, 2020 · Different methodologies are used in research to distinguish dyslexics from non-dyslexics, such as machine learning, image processing, studying cerebrum behaviour through brain science, and...
In this research comprises creating a machine learning model that will assess a data set obtained from the EEG signals of different learning difficulties like dyslexia and ADHD (attention deficit hyper disorder) and offer accurate results in minutes.
Deep Learning in Disability Research: A Bibliometric Analysis
4 days ago · Deep learning is a type of machine learning that uses artificial neural networks to learn from data [1].Neural networks are inspired by the structure and function of the human brain, and they are made up of interconnected nodes that perform simple mathematical operations [2].By training a neural network on a large dataset, it can learn to perform complex tasks, such as image recognition and ...
Development of EEG based Identification of Learning Disability …
Sep 18, 2022 · Our research entails developing a machine learning model to analyze EEG signals from people with learning difficulties and provide results in minutes with the highest level of accuracy.
Machine learning algorithms are commonly used to extract speech features and determine accuracy and performance improvement in youngsters. As a result, the study will be focused on youngsters aged five to seven who are experiencing difficulty reading Hindi language words.
Hybrid ML Algorithms for Learning Disability Forecast in School …
A learning disability is a neurological illness that impairs a child's ability to read, speak, and do a variety of other skills. The World Health Organization (
Machine Learning Algorithm for Learning Disability Detection …
Jul 10, 2024 · This research presents a comprehensive machine learning-based system designed to detect and classify various types of learning disabilities.