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International Journal of Developmental Disabilities Volume 68, 2022 - Issue 6
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Article

The diagnosis of ASD using multiple machine learning techniques

Chandan Jyoti Kumar1 Department of Computer Science & IT, Cotton University, Guwahati, Assam, IndiaCorrespondence[email protected]
&
Priti Rekha Das2 Department of Psychology, Gauhati University, Guwahati, Assam, IndiaCorrespondence[email protected]
Pages 973-983 | Received 10 Mar 2021, Accepted 18 May 2021, Published online: 10 Jun 2021

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Sweta Bhadra & Chandan Jyoti Kumar. (2023) Enhancing the efficacy of depression detection system using optimal feature selection from EHR. Computer Methods in Biomechanics and Biomedical Engineering 0:0, pages 1-15.
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Sweta Bhadra & Chandan Jyoti Kumar. (2022) An insight into diagnosis of depression using machine learning techniques: a systematic review. Current Medical Research and Opinion 38:5, pages 749-771.
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Mayuri Sharma, Chandan Jyoti Kumar & Aniruddha Deka. (2022) Early diagnosis of rice plant disease using machine learning techniques. Archives of Phytopathology and Plant Protection 55:3, pages 259-283.
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Articles from other publishers (1)

Sreelakshmi S.Vinod Chandra S. S.E. Shaji. (2022) Landslide identification using machine learning techniques: Review, motivation, and future prospects. Earth Science Informatics 15:4, pages 2063-2090.
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