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Simulating Autism Spectrum Disorder Diagnosis Using Tsallis Entropy

2025-04-21

Abstract excerpt

This study explores the application of Tsallis entropy, a non-extensive entropy measure, to analyze diagnostic patterns of Autism Spectrum Disorder (ASD) through simulation. Synthetic data, reflecting real-world ASD behavioral metrics such as social interaction deficits and repetitive behaviors, are generated to compute Tsallis entropy, quantifying diagnostic complexity and uncertainty. Using Python, the simulatio...

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Identifiers and source

Literature Corpus work
517d84da-15ee-5435-bbbe-cab013ec2cb6
DOI
10.20944/preprints202504.1678.v1
Open publication

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Simulating Autism Spectrum Disorder Diagnosis Using Tsallis EntropyDOI 10.20944/preprints202504.1678.v1
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