Autism Detection in Adult using Artifical neural network

Registration ID: IJNRD_214106

Published ID: IJNRD2405628

DOI: Click Here to Get

Priyanka R , Dr.S.Raja Mohamed

ANN, Autism detection, Machine Learning, Classification, Diagnosis, Data Pre-processing.

This research project is dedicated to an extensive investigation that incorporates Exploratory Data Analysis (EDA) and the implementation of Novel artificial neural networks (ANN) for Autism Spectrum Disorder (ASD) patient classification. The primary objectives involve gaining insights into the characteristics of autistic patients through EDA and developing an accurate classification model using ANN for identifying individuals with ASD. The initial project phase delves into Data Analysis, where the dataset containing various features related to ASD patients is explored and analysed. The aim is to uncover patterns, trends, and key insights contributing to a better understanding of ASD characteristics. Subsequently, the study transitions to applying Novel artificial neural networks, a potent machine learning technique, for classifying individuals into two categories: "ASD" and "non-ASD." The neural network is trained on a labelled dataset, utilizing information gathered from the EDA phase. The goal is to leverage the predictive capabilities of ANN to accurately identify and classify new instances of ASD based on their characteristic features. Furthermore, the research involves fine-tuning the ANN model, optimizing its architecture and parameters for optimal ASD classification performance. The project emphasizes the use of advanced neural network techniques to handle dataset complexity and enhance prediction accuracy. By integrating EDA and ANN, this study aims to provide a comprehensive approach to understanding and classifying ASD patients. The research outcomes may contribute valuable insights to the field of autism diagnosis, offering a nuanced understanding of ASD characteristics and potentially advancing the development of more effective and accurate diagnostic tools.

Published Paper   E-Certificate

Priyanka R & Dr.S.Raja Mohamed (May-2024). Autism Detection in Adult using Artifical neural network. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), g223-g230. https://ijnrd.org/papers/IJNRD2405628.pdf

Volume 9 Issue 5, May-2024

Pages : g223-g230

Paper Reg. ID: IJNRD_214106

Published Paper Id: IJNRD2405628

Downloads: 000121977

Research Area: Computer Engineering 

Country: Thanjavur, TamilNadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405628.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405628

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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