Roberta Moreira Wichmann
Overview
Explore the profile of Roberta Moreira Wichmann including associated specialties, affiliations and a list of published articles.
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Articles
6
Citations
5
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0
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Recent Articles
1.
Savalli C, Wichmann R, Filho F, Fernandes F, Porto Chiavegatto Filho A
PLOS Digit Health
. 2024 Dec;
3(12):e0000699.
PMID: 39723970
Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from...
2.
Delpino F, Costa A, Nascimento M, Moura H, Geremias Dos Santos H, Wichmann R, et al.
Nutr Metab Cardiovasc Dis
. 2024 Jul;
34(9):2034-2045.
PMID: 39004592
Aim: Machine learning may be a tool with the potential for obesity prediction. This study aims to review the literature on the performance of machine learning models in predicting obesity...
3.
Wichmann B, Wichmann R
Sci Rep
. 2023 Aug;
13(1):13613.
PMID: 37604881
The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19,...
4.
Wichmann B, Wichmann R
Eur J Health Econ
. 2023 Aug;
25(4):717-730.
PMID: 37543994
We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the model using data from 74 hospitals in Rio de...
5.
Wichmann R, Fernandes F, Porto Chiavegatto Filho A
Sci Rep
. 2023 Jan;
13(1):1022.
PMID: 36658181
Machine learning algorithms are being increasingly used in healthcare settings but their generalizability between different regions is still unknown. This study aims to identify the strategy that maximizes the predictive...
6.
Wichmann R, Fagundes T, Oliveira T, Batista A, Porto Chiavegatto Filho A
PLoS One
. 2022 Dec;
17(12):e0278397.
PMID: 36516134
Artificial intelligence (AI) algorithms are transforming several areas of the digital world and are increasingly being applied in healthcare. Mobile apps based on predictive machine learning models have the potential...