AIMC Topic: Brazil

Clear Filters Showing 111 to 120 of 234 articles

Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018.

Revista da Sociedade Brasileira de Medicina Tropical Aug 5, 2022
BACKGROUND: Malaria is curable. Nonetheless, over 229 million cases of malaria were recorded in 2019, along with 409,000 deaths. Although over 42 million Brazilians are at risk of contracting malaria, 99% percent of all malaria cases in Brazil are lo...
Humans Brazil Deep Learning Incidence Cities Malaria
View on PubMed DOI

Using deep learning to predict outcomes of legal appeals better than human experts: A study with data from Brazilian federal courts.

PloS one Jul 28, 2022
Legal scholars have been trying to predict the outcomes of trials for a long time. In recent years, researchers have been harnessing advancements in machine learning to predict the behavior of natural and social processes. At the same time, the Brazi...
Humans Natural Language Processing Law Enforcement Brazil Deep Learning
View on PubMed DOI

The Executive Branch decisions in Brazil: A study of administrative decrees through machine learning and network analysis.

PloS one Jul 21, 2022
This paper dissects the potential of state-of-the-art computational analysis to promote the investigation of government's administrative decisions and politics. The Executive Branch generates massive amounts of textual data comprising daily decisions...
Machine Learning Algorithms Brazil Government Agencies Neural Networks, Computer
View on PubMed DOI

Phenotypes of sickle cell intensive care admissions: an unsupervised machine learning approach in a single-center retrospective cohort.

Annals of hematology Jul 15, 2022
Sickle cell disease (SCD) is associated with multiple known complications and increased mortality. This study aims to further understand the profile of intensive care unit (ICU) admissions of SCD patients. In this single-center retrospective cohort (...
Retrospective Studies Intensive Care Units Female Humans Phenotype Unsupervised Machine Learning Critical Care Anemia, Sickle Cell Male Brazil Hospital Mortality
View on PubMed DOI

Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.

Abdominal radiology (New York) Jun 16, 2022
PURPOSE: To evaluate an MRI-based radiomic texture classifier alone and combined with radiologist qualitative assessment in predicting pathological complete response (pCR) using restaging MRI with internal training and external validation.
Humans Artificial Intelligence Treatment Outcome Magnetic Resonance Imaging Radiologists Rectal Neoplasms Chemoradiotherapy Magnetic Resonance Spectroscopy Retrospective Studies Male Female Middle Aged Brazil
View on PubMed DOI

Automated multilabel diagnosis on electrocardiographic images and signals.

Nature communications Mar 24, 2022
The application of artificial intelligence (AI) for automated diagnosis of electrocardiograms (ECGs) can improve care in remote settings but is limited by the reliance on infrequently available signal-based data. We report the development of a multil...
Neural Networks, Computer Germany Artificial Intelligence Brazil Electrocardiography
View on PubMed DOI

A proficient approach to forecast COVID-19 spread via optimized dynamic machine learning models.

Scientific reports Feb 14, 2022
This study aims to develop an assumption-free data-driven model to accurately forecast COVID-19 spread. Towards this end, we firstly employed Bayesian optimization to tune the Gaussian process regression (GPR) hyperparameters to develop an efficient ...
India Bayes Theorem SARS-CoV-2 Brazil Pandemics COVID-19 Algorithms Forecasting Reproducibility of Results Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Early identification of older individuals at risk of mobility decline with machine learning.

Archives of gerontology and geriatrics Jan 21, 2022
BACKGROUND: The early identification of individuals at risk of mobility decline can improve targeted strategies of prevention.
Humans Risk Assessment Brazil Aged Machine Learning Algorithms Aging Middle Aged
View on PubMed DOI

Application of the QFD-fuzzy-SERVQUAL methodology as a quality planning tool at the surgical centre of a public teaching hospital.

BMC medical informatics and decision making Jan 7, 2022
BACKGROUND: In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it is considered one of the most ...
Hospitals, Teaching Hospitals, Public Humans Brazil Surveys and Questionnaires Fuzzy Logic
View on PubMed DOI

Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort.

PLoS neglected tropical diseases Dec 6, 2021
BACKGROUND: Left ventricular systolic dysfunction (LVSD) in Chagas disease (ChD) is relatively common and its treatment using low-cost drugs can improve symptoms and reduce mortality. Recently, an artificial intelligence (AI)-enabled ECG algorithm sh...
Ventricular Dysfunction, Left Cross-Sectional Studies Chagas Disease Brazil Algorithms Male Humans Ventricular Function, Left Electrocardiography Female Artificial Intelligence Stroke Volume Aged Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals