[HTML][HTML] Decoding cognition in neurodevelopmental, psychiatric and neurological conditions with multivariate pattern analysis of EEG data
Multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data represents a
revolutionary approach to investigate how the brain encodes information. By considering …
revolutionary approach to investigate how the brain encodes information. By considering …
Healthcare performance analytics based on the novel PDA methodology for assessment of efficiency and perceived quality outcomes: A machine learning approach
V Santamato, C Tricase, N Faccilongo… - Expert Systems with …, 2024 - Elsevier
Efficient resource allocation in healthcare organizations remains a complex challenge,
exacerbated by the intricate data structure and myriad variables involved. While traditional …
exacerbated by the intricate data structure and myriad variables involved. While traditional …
Utilizing Constructed Neural Networks for Autism Screening
Autism Spectrum Disorder is known to cause difficulties in social interaction and
communication, as well as repetitive patterns of behavior, interests, or hobbies. These …
communication, as well as repetitive patterns of behavior, interests, or hobbies. These …
[HTML][HTML] Machine Learning for Evaluating Hospital Mobility: An Italian Case Study
This study delves into hospital mobility within the Italian regions of Apulia and Emilia-
Romagna, interpreting it as an indicator of perceived service quality. Utilizing logistic …
Romagna, interpreting it as an indicator of perceived service quality. Utilizing logistic …
[PDF][PDF] do Trabalho: Treinamento de professores para identificação de pré-escolares com suspeita de
GOE Muitana - Special Education, 2015 - dspace.mackenzie.br
RESUMO A primeira infância é um período crítico muito importante da criança em que é
possível observar o desenvolvimento de habilidades cognitivas, sociais, motoras, de …
possível observar o desenvolvimento de habilidades cognitivas, sociais, motoras, de …