Analysis of Machine and Deep Learning Algorithms for Pattern Recognition in Medical Data DOI
Bharath Kumar Gowru,

G. Appa Rao

Published: Feb. 23, 2024

Pattern recognition is a data analysis technique that utilizes various algorithms for the automatic of patterns and regularities. Recently, problems scenes need pattern quick resolution difficult issues, particularly those can't resolved by multiple dimensional data, because involved in spectral information. In this study, different machine learning (ML) deep (DL) techniques are analyzed which implemented using medical data. This study discussed significant assumptions, advantages, drawbacks ML DL techniques. Different Artificial Neural Networks (ANN), Machine Learning Regression (MLR), so on. Various Convolutional (CNN), EfficientNet performance measures like accuracy, precision, recall, f1-score error rates used previous studies evaluation study. The concludes have potential to overcome every drawback there option integrating method developing an ensemble technique.

Language: Английский

Toxicological Effects of Ingested Microplastics on Human Health DOI
Daniel A. Ayejoto, Johnbosco C. Egbueri, Leonard N. Onuba

et al.

Emerging contaminants and associated treatment technologies, Journal Year: 2024, Volume and Issue: unknown, P. 427 - 461

Published: Jan. 1, 2024

Language: Английский

Citations

2
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

1
Analysis of Machine and Deep Learning Algorithms for Pattern Recognition in Medical Data DOI
Bharath Kumar Gowru,

G. Appa Rao

Published: Feb. 23, 2024

Pattern recognition is a data analysis technique that utilizes various algorithms for the automatic of patterns and regularities. Recently, problems scenes need pattern quick resolution difficult issues, particularly those can't resolved by multiple dimensional data, because involved in spectral information. In this study, different machine learning (ML) deep (DL) techniques are analyzed which implemented using medical data. This study discussed significant assumptions, advantages, drawbacks ML DL techniques. Different Artificial Neural Networks (ANN), Machine Learning Regression (MLR), so on. Various Convolutional (CNN), EfficientNet performance measures like accuracy, precision, recall, f1-score error rates used previous studies evaluation study. The concludes have potential to overcome every drawback there option integrating method developing an ensemble technique.

Language: Английский

Citations

0