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Biochemical and clinical characterization of metabolic phenotypes: a cross-sectional study from Maracaibo city, Venezuela [version 1; referees: awaiting peer review]
(is published by F1000 Research Ltd, 2018-02)
Background: In 1980, Reuben Andresen observed that in certain individuals,
obesity did not increase mortality, introducing an atypical phenotype called
“healthy obese”. Other studies reported that 10-15 % of lean individuals
presented insulin resistance, hyperglycemia and dyslipidemia. The objective of
this study was to evaluate biochemical and clinical characteristics of metabolic
phenotypes in Maracaibo city.
Methods: A descriptive, cross-sectional study with a randomized multistage
sampling was performed including 1226 non diabetic ...
Insulin resistance indices and coronary risk in adults from Maracaibo city, Venezuela: A cross sectional study [version 1; referees: 1 approved with reservations]
(is published by F1000 Research Ltd, 2018-03)
Background: Insulin resistance (IR) is a metabolic disorder related to
atherosclerosis. Its measurement is of great importance not only as a marker of
diabetes but also for cardiovascular disease. The aim of this research study
was to evaluate the relationship between various IR indices and coronary risk in
an adult population from Maracaibo city, Venezuela.
Methods: The Maracaibo City Metabolic Syndrome Prevalence Study is a
descriptive, cross-sectional study with random and multi-stage sampling. In this
sub study, 1272 individuals of ...
Una introducción a las aplicaciones de la inteligencia artificial en Medicina: Aspectos históricos
(Cooperativa servicios y suministros 212518 RS, 2019)
En un sentido amplio la inteligencia artificial y el aprendizaje automático se ha aplicado a los datos médicos desde los inicios de la informática dado el profundo arraigo de esta área en la innovación, pero los últimos años han sido testigo de una
generación cada vez mayor de datos relacionados con las ciencias de la salud, cuestión que ha dado nacimiento a un nuevo campo de las ciencias de la computación llamado big data. Los datos médicos a gran escala (en forma
de bases de datos estructuradas y no estructuradas) si son apropiadamente ...
High grade glioma segmentation in magnetic resonance imaging
(Sociedad Latinoamericana de Hipertensión, 2018)
Through this work we propose a computational technique
for the segmentation of magnetic resonance images
(MRI) of a brain tumor, identified as high grade glioma
(HGG), specifically grade III anaplastic astrocytoma. This
technique consists of 3 stages developed in the threedimensional
domain. They are: pre-processing, segmentation
and post-processing. The pre-processing stage uses
a thresholding technique, morphological erosion filter
(MEF), in gray scale, followed by a median filter and a
gradient magnitude algorithm. On the other hand, ...
Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique for
the segmentation of a brain tumor, identified as low grade
glioma (LGG), specifically grade II astrocytoma, which is
present in magnetic resonance images (MRI). This technique
consists of 3 stages developed in the three-dimensional
domain. They are: pre-processing, segmentation and postprocessing.
The percent relative error (PrE) is considered to
compare the segmentations of the LGG, generated by a neuro-
oncologist manually, with the dilated segmentations of the
LGG, obtained ...
Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods
(Sociedad Latinoamericana de Hipertensión, 2018)
This work evaluates the performance of some
methods employed for assessing the volume of
seven subdural hematomas (EDH), present in
multi-layer computed tomography images. Firstly, a reference
volume is considered to be that obtained by a neurosurgeon
using the manual planimetric method (MPM).
Secondly, the volume of the 7 EDHs is obtained considering
both the original version of the ABC/2 method and two of
its variants, identified in this paper as ABC/3 method and
2ABC/3 method. The ABC methods allow for calculation
of the volume of ...
Digital processing of medical images: application in synthetic cardiac datasets using the CRISP_DM methodology
(Sociedad Latinoamericana de Hipertensión, 2018)
In this work an adaptation of the Cross Industry
Standard Process for Data Mining (CRISP-DM) methodology,
in the context of digital medical image
processing is proposed. Specifically, synthetic images reported
in the literature are used as numerical phantoms.
Construction of the synthetic images was inspired by a detailed
analysis of some of the imperfections found in the
real multilayer cardiac computed tomography images. Of
all the imperfections considered, only Poisson noise was
selected and incorporated into a synthetic database. ...
Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: a clinical utility
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This paper proposes a non-linear computational technique
for the segmentation of epidural hematomas (EDH), present
in 7 multilayer computed tomography brain imaging databases.
This technique consists of 3 stages developed in the
three-dimensional domain, namely: pre-processing, segmentation
and quantification of the volume occupied by each of
the segmented EDHs. To make value judgments about the
performance of the proposed technique, the EDH dilated segmentations,
obtained automatically, and the EDH segmentations,
generated manually by ...
Assessment of methods for volumetric quantification of intracerebral hematomas in computerized tomography images
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This work evaluates the performance of computational methods
aimed at volume generation of five intracerebral hematomas
(ICH), present in multi-layer computed tomography
images, by means of three complementary steps. First. A
ground truth volume or reference volume (RV) is considered.
This RV is obtained, by a neurosurgeon, using the manual
planimetric method (MPM). In a second step, the volumetry
of the 5 ICH’s is obtained considering both the original version
of the ABC/2 method and two of its variants, identified in
this paper as ABC/3 ...
Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique
for the segmentation of a brain tumor, identified as meningioma
(MGT), which is present in magnetic resonance images
(MRI). This technique consists of 3 stages developed in
the three-dimensional domain: pre-processing, segmentation
and post-processing. The percent relative error (PrE) is considered
to compare the segmentations of the MGT, generated
by a neuro-oncologist manually, with the dilated segmentations
of the MGT, obtained automatically. The combination of
parameters linked ...