Aggregated Pattern Classification Method for improving neural disorder stage detection DOI Creative Commons
Mohd Anjum, Sana Shahab, Shabir Ahmad

et al.

Brain and Behavior, Journal Year: 2024, Volume and Issue: 14(8)

Published: Aug. 1, 2024

Neurological disorders pose a significant health challenge, and their early detection is critical for effective treatment planning prognosis. Traditional classification of neural based on causes, symptoms, developmental stage, severity, nervous system effects has limitations. Leveraging artificial intelligence (AI) machine learning (ML) pattern recognition provides potent solution to address these challenges. Therefore, this study focuses proposing an innovative approach-the Aggregated Pattern Classification Method (APCM)-for precise identification disorder stages.

Language: Английский

Aggregated Pattern Classification Method for improving neural disorder stage detection DOI Creative Commons
Mohd Anjum, Sana Shahab, Shabir Ahmad

et al.

Brain and Behavior, Journal Year: 2024, Volume and Issue: 14(8)

Published: Aug. 1, 2024

Neurological disorders pose a significant health challenge, and their early detection is critical for effective treatment planning prognosis. Traditional classification of neural based on causes, symptoms, developmental stage, severity, nervous system effects has limitations. Leveraging artificial intelligence (AI) machine learning (ML) pattern recognition provides potent solution to address these challenges. Therefore, this study focuses proposing an innovative approach-the Aggregated Pattern Classification Method (APCM)-for precise identification disorder stages.

Language: Английский

Citations

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