Enhancing autism severity prediction: A fusion of convolutional neural networks and random forest model

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-06-01 DOI:10.59035/vnwf2548

R. Ramya, S. Arokiaraj

引用次数: 0

Abstract

A neurological condition affecting both the brain and behaviour is identified as autism spectrum disorder (ASD). Due to the absence of a reliable medical test for detecting autism, diagnoses rely on historical evidence. Essential in assessing the degree of autism are models like Convolutional Neural Networks (CNNs) and Random Forest (RF). In order to reduce the amount of diagnostic tests required for autism diagnosis, this research work presents a new hybrid model that combines the strengths of RF and CNNs, providing healthcare solutions. It is noteworthy that this model properly predicted the severity of autism with an astounding accuracy rate of 99.15% when applied to historical data gathered from the Kaggle Repository.

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加强自闭症严重程度预测：卷积神经网络与随机森林模型的融合

自闭症谱系障碍（ASD）是一种影响大脑和行为的神经系统疾病。由于缺乏检测自闭症的可靠医学测试，诊断只能依靠历史证据。卷积神经网络（CNN）和随机森林（RF）等模型对评估自闭症的程度至关重要。为了减少自闭症诊断所需的诊断测试数量，这项研究工作提出了一种新的混合模型，该模型结合了 RF 和 CNN 的优势，为医疗保健提供了解决方案。值得注意的是，当该模型应用于从 Kaggle 存储库中收集的历史数据时，能正确预测自闭症的严重程度，准确率高达 99.15%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.