Navegação Ciências da Saúde por Assunto "Machine Learning"

Resultados 1-4 de 4

    • Aprendizado de máquina nos serviços farmacêuticos : uma revisão integrativa 

      Rocha, Mariana Balhego; Silveira, Brenda Petro; Pilger, Diogo (2023) [Artigo de periódico]
      A crescente digitalização e aplicação de inteligência artificial (IA) em problemas complexos do mundo real, tem potencial de melhorar os serviços de saúde, inclusive da atuação dos farmacêuticos no processo do cuidado. O ...

    • Assessing atypical brain functional connectivity development : an approach based on generative adversarial networks 

      Santos, Pedro Machado Nery dos; Mendes, Sérgio Leonardo; Biazoli Junior, Claudinei Eduardo; Gadelha, Ary; Salum Junior, Giovanni Abrahão; Miguel, Eurípedes Constantino; Rohde, Luis Augusto Paim; Sato, João Ricardo (2023) [Artigo de periódico]
      Generative Adversarial Networks (GANs) are promising analytical tools in machine learning applications. Characterizing atypical neurodevelopmental processes might be useful in establishing diagnostic and prognostic biomarkers ...

    • Prediction of attempted suicide in men and women with crack-cocaine use disorder in Brazil 

      Roglio, Vinícius Serafini; Borges, Eduardo Nunes; Ponte, Francisco Diego Rabelo da; Ornell, Felipe; Scherer, Juliana Nichterwitz; Schuch, Jaqueline Bohrer; Passos, Ives Cavalcante; Vieira, Breno Sanvicente; Grassi-Oliveira, Rodrigo; Diemen, Lisia von; Pechansky, Flavio; Kessler, Felix Henrique Paim (2020) [Artigo de periódico]
      Background: Suicide is a severe health problem, with high rates in individuals with addiction. Considering the lack of studies exploring suicide predictors in this population, we aimed to investigate factors associated ...

    • Segmentation of dental restorations on panoramic radiographs using deep learning 

      Rohrer, Csaba; Krois, Joachim; Patel, Jay; Meyer-Lueckel, Hendrik; Rodrigues, Jonas de Almeida; Schwendicke, Falk (2022) [Artigo de periódico]
      Convolutional Neural Networks (CNNs) such as U-Net have been widely used for medical image segmentation. Dental restorations are prominent features of dental radiographs. Applying U-Net on the panoramic image is challenging, ...