Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review

Safdar, Muhammad Farhan; Nowak, Robert Marek; Pałka, Piotr

doi:10.1016/j.compbiomed.2023.107908

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2024

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Cited by 2 publications

References 194 publications

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Significance and Comparison of PCA in Removing Multicollinearity of Variables in Face Detection and Recognition

Tamilselvi

2024

2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)

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Significance and Comparison of PCA in Removing Multicollinearity of Variables in Face Detection and Recognition

Tamilselvi

2024

2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)

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Hospital processes optimization based on artificial intelligence

Sánchez Suárez,

Alawi,

Leyva Ricardo

2023

LatIA

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Artificial intelligence is revolutionizing hospital management by optimizing critical processes to improve operational efficiency. The automation of administrative tasks allows reducing errors and streamlining the flow of patients and work, which translates into lower costs and better use of hospital resources. The objective is to analyze research related to the optimization of hospital processes based on artificial intelligence. The research paradigm was qualitative-quantitative, the focus of this research was based on a bibliometric analysis, which was complemented with a documentary review in databases of high international and Latin American impact in the period from 2010 to 2024. The trend of the research was towards an increase, where research in the area of medicine and computer sciences predominated. A keyword co-occurrence and citation analysis were carried out to identify possible lines of research. It was identified that monitoring and predictive analytics technologies based on artificial intelligence enable proactive management of patients' health, preventing complications and optimizing resource allocation. These tools also facilitate the personalization of care, adjusting treatments according to the specific needs of each patient. The implementation of artificial intelligence in hospital processes is a crucial tool for improving operational efficiency and reducing costs through the automation of administrative tasks, resulting in a smoother and more effective operation

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Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review

Cited by 2 publications

References 194 publications

Significance and Comparison of PCA in Removing Multicollinearity of Variables in Face Detection and Recognition

Significance and Comparison of PCA in Removing Multicollinearity of Variables in Face Detection and Recognition

Hospital processes optimization based on artificial intelligence

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