AIMC Topic: Brazil
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Prediction of essential oil content in C. sintoc Leaves based on the direction of vegetation slope in Mount Ciremai National Park using ANFIS Artificial Neural Network.
Brazilian journal of biology = Revista brasleira de biologia
May 24, 2024
C. sintoc is a plant that has a high essential oil content. Essential oils have many health benefits. Mount Ciremai National Park is an area that has abundant vegetation, especially C. sintoc. The purpose of this study was to predict the volume of oi...
Machine learning algorithms using national registry data to predict loss to follow-up during tuberculosis treatment.
BMC public health
May 23, 2024
BACKGROUND: Identifying patients at increased risk of loss to follow-up (LTFU) is key to developing strategies to optimize the clinical management of tuberculosis (TB). The use of national registry data in prediction models may be a useful tool to in...
In response to the reply on 'Advancing oral cancer diagnosis in Brazil: Integrating artificial intelligence with teledentistry for enhanced patient outcomes'.
Oral oncology
May 22, 2024
Synchronous Diagnosis of Diabetic Retinopathy by a Handheld Retinal Camera, Artificial Intelligence, and Simultaneous Specialist Confirmation.
Ophthalmology. Retina
May 14, 2024
PURPOSE: Diabetic retinopathy (DR) is a leading cause of preventable blindness, particularly in underserved regions where access to ophthalmic care is limited. This study presents a proof of concept for utilizing a portable handheld retinal camera wi...
Carcass traits and morphometry, typification of the Longissimus dorsi muscle and non-carcass components of hair lambs: can biscuit bran completely replace corn? A machine learning approach.
Tropical animal health and production
May 13, 2024
Biscuit bran (BB) is a co-product with worldwide distribution, with Brazil as the second largest cookie producer in the world with 1,157,051 tons. We evaluate the impact of completely replacing corn with BB on the characteristics and morphometry of c...
Prediction of tuberculosis clusters in the riverine municipalities of the Brazilian Amazon with machine learning.
Revista brasileira de epidemiologia = Brazilian journal of epidemiology
May 13, 2024
OBJECTIVE: Tuberculosis (TB) is the second most deadly infectious disease globally, posing a significant burden in Brazil and its Amazonian region. This study focused on the "riverine municipalities" and hypothesizes the presence of TB clusters in th...
Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study.
Scientific reports
May 12, 2024
Optimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a globally a...
Reply to: Comment on "Advancing oral cancer diagnosis in Brazil: Integrating artificial intelligence with teledentistry for enhanced patient outcomes".
Oral oncology
May 11, 2024
Machine learning for predicting Chagas disease infection in rural areas of Brazil.
PLoS neglected tropical diseases
Apr 16, 2024
INTRODUCTION: Chagas disease is a severe parasitic illness that is prevalent in Latin America and often goes unaddressed. Early detection and treatment are critical in preventing the progression of the illness and its associated life-threatening comp...
A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes - An exploratory analysis.
Primary care diabetes
Apr 14, 2024
AIMS: Machine learning models can use image and text data to predict the number of years since diabetes diagnosis; such model can be applied to new patients to predict, approximately, how long the new patient may have lived with diabetes unknowingly....
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