Use of machine learning to predict cognitive performance based on brain metabolism in Neurofibromatosis type 1

Author:

Schütze Manuel,de Souza Costa Danielle,de Paula Jonas Jardim,Malloy-Diniz Leandro Fernandes,Malamut Carlos,Mamede Marcelo,Miranda Débora Marques deORCID,Brammer Michael,Romano-Silva Marco Aurélio

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (BR)

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Lack of Ad Hoc Neuropsychological Assessment in Adults with Neurofibromatosis: A Systematic Review;Journal of Clinical Medicine;2024-03-01

2. Accurate Prediction of Momentary Cognition From Intensive Longitudinal Data;Biological Psychiatry: Cognitive Neuroscience and Neuroimaging;2022-12

3. Diagnostic and therapeutic approach of artificial intelligence in neuro-oncological diseases;Biosensors and Bioelectronics: X;2022-09

4. Role and Influence of Artificial Intelligence in Healthcare, Hybrid Imaging, and Molecular Imaging;Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging;2022

5. Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations;2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA);2021-12

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