AIMC Topic: Chile
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A deep learning approach for real-time crash prediction using vehicle-by-vehicle data.
Accident; analysis and prevention
Sep 30, 2021
In road safety, real-time crash prediction may play a crucial role in preventing such traffic events. However, much of the research in this line generally uses data aggregated every five or ten minutes. This article proposes a new image-inspired data...
Predicting affinity ties in a surname network.
PloS one
Sep 2, 2021
From administrative registers of last names in Santiago, Chile, we create a surname affinity network that encodes socioeconomic data. This network is a multi-relational graph with nodes representing surnames and edges representing the prevalence of i...
Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing.
BMC medical informatics and decision making
Jul 1, 2021
BACKGROUND: In Chile, a patient needing a specialty consultation or surgery has to first be referred by a general practitioner, then placed on a waiting list. The Explicit Health Guarantees (GES in Spanish) ensures, by law, the maximum time to solve ...
[Seasonal variations in 25-hydroxy vitamin D3, parathormone and alkaline phosphatase in school-aged children].
Revista chilena de pediatria
Nov 5, 2020
INTRODUCTION: The main role of Vitamin D is to regulate calcium metabolism, whose main source is vitamin D3 ob tained mostly from the action of ultraviolet (UV) light on the skin.
The importance of flow composition in real-time crash prediction.
Accident; analysis and prevention
Jan 31, 2020
Previous real-time crash prediction models have scarcely used data disaggregated by vehicle type such as light, heavy and motorcycles. Thus, little effort has been made to quantify the impact of flow composition variables as crash precursors. We anal...
Earthquake prediction model using support vector regressor and hybrid neural networks.
PloS one
Jul 5, 2018
Earthquake prediction has been a challenging research area, where a future occurrence of the devastating catastrophe is predicted. In this work, sixty seismic features are computed through employing seismological concepts, such as Gutenberg-Richter l...
Managing the 1920s' Chilean educational crisis: A historical view combined with machine learning.
PloS one
May 30, 2018
In the first decades of the 20th century, political actors diagnosed the incubation of a crisis in the Chilean schooling process. Low rates of enrollment, literacy, and attendance, inefficiency in the use of resources, poverty, and a reduced number o...
Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation.
International journal of environmental research and public health
Dec 27, 2017
In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes are associated with increased dust exposure, which might affect children's respiratory health. Therefo...
Changes in polyphenol composition and bioactivity of the native Chilean white strawberry (Fragaria chiloensis spp. chiloensis f. chiloensis) after in vitro gastrointestinal digestion.
Food research international (Ottawa, Ont.)
Nov 8, 2017
The Chilean white strawberry (Fragaria chiloensis spp. chiloensis f. chiloensis) is a semi-domesticated strawberry with high polyphenol content and antioxidant activity occurring in southern Chile. The aim of this work was to compare the composition ...
Predicting posttraumatic stress disorder following a natural disaster.
Journal of psychiatric research
Sep 8, 2017
Earthquakes are a common and deadly natural disaster, with roughly one-quarter of survivors subsequently developing posttraumatic stress disorder (PTSD). Despite progress identifying risk factors, limited research has examined how to combine variable...
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