International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Machine Learning Approach to Predict Autism Spectrum Disorder

Author(s) V. Rani Sailaja, M. Tejashwini, P. Ramani, M. Rakshitha
Country India
Abstract Autism Spectrum Disorder is one of a group of neuro developmental disorders. ASD's are communication , social interactions, range of play and interests, processing and integrating sensory information. In our research we have used the algorithms like Random forest, SVC, ANN, Logistic regression and the Extra trees to predict that which person has the ASD.
Keywords Machine Learning, Random Forest, SVC, ANN, Logisic Regression
Field Computer
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-20
Cite This Machine Learning Approach to Predict Autism Spectrum Disorder - V. Rani Sailaja, M. Tejashwini, P. Ramani, M. Rakshitha - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.19783
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.19783
Short DOI https://doi.org/gtvt3w

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