Spatio-temporal probabilistic prediction of appearance and duration of malaria outbreak in municipalities of Colombia

Rodríguez, Javier

doi:10.1088/1742-6596/1160/1/012018

Cited by 3 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From this same perspective, different physical theories have been applied to investigate the complexity of biological phenomena that are of interest in medicine, such as obtaining predictions of mortality in intensive care units from hemo dynamic variables [26], predictions of malaria epide mics [27], binding of peptides to HLA class II [28], predictions of cardiac dynamics [29,30], or characterization of bodily structures with fractal geometry [31].…”

Section: Discussionmentioning

confidence: 99%

Mathematical predictive relationship of CD4+ lymphocytes and total leukocytes in HIV-infected patients

Prieto Bohorquez,

Cuesta,

Valdés Cadena

et al. 2024

HIV & AIDS Review

View full text Add to dashboard Cite

Introduction: Different parameters have been established to direct the treatment of patients with human immunodeficiency virus (HIV) infection, such as CD4+ lymphocyte values, and it is of clinical interest to have methodologies that accurately predict these values. Aim of the study was to predict the total values of leukocytes and CD4+ lymphocytes greater than 500 cells/μl 3 in HIV-infected patients using the theory of probability and set theory. Material and methods:Starting from 7 cases with several records over time, an induction was performed establishing mathematical patterns between CD4+ lymphocyte values and total leukocyte values, while applying the probability theory to calculate predictive accuracy in 43 cases, and subsequently, sensitivity and specificity were calculated in a blinded study. Results:In total, 184 records were analyzed for 50 cases. The values of total leukocytes equal to or greater than 3.9 cells/mm 3 were predicted to correspond to CD4+ lymphocyte values greater than 500 cells/μl 3 in 100% of time, with sensitivity and specificity results of 100%.Conclusions: This is the first investigation with the theory of probability, in which predictions were made from leukocyte values equal to or greater than 3.9 cells/mm 3 to find CD4+ lymphocyte counts. A predictive probabilistic methodology was developed, and determined results for the calculated ranges were found.

show abstract

Section: Discussionmentioning

confidence: 99%

Mathematical predictive relationship of CD4+ lymphocytes and total leukocytes in HIV-infected patients

Prieto Bohorquez,

Cuesta,

Valdés Cadena

et al. 2024

HIV & AIDS Review

View full text Add to dashboard Cite

show abstract

Predicción temporal de CD4+ en 80 pacientes con manejo antirretroviral a partir de valores de leucocitos

Rodríguez

Bohórquez

Pérez-Díaz³

et al. 2020

Infect

View full text Add to dashboard Cite

Objetivo: establecer una metodología predictiva de aplicación clínica de recuentos de CD4+ en rangos de interés clínico a partir del recuento absoluto de leucocitos.Metodología: a partir de los valores secuenciales de leucocitos y linfocitos CD4+ de 9 pacientes, se observaron patrones matemáticos que posteriormente fueronaplicados en un estudio ciego con 71 casos para confirmar su capacidad predictiva, midiendo porcentajes de especificidad y sensibilidad. Resultados: se determinaron cinco patrones matemáticos que predicen en el 99% de los casos los distintos recuentos de CD4+ a partir de recuentos de leucocitos con valores de especificidad y sensibilidad del 99%. Conclusiones: los patrones matemáticos encontrados entre recuento de leucocitos y CD4+ sugieren que este fenómeno prácticamente es determinista.

show abstract

Fractal characterization of neoplastic thyroid cells: application of the Box Counting methodology

Freddy

Javier

Signed

et al. 2023

Ann. Cancer Res. Therap.

View full text Add to dashboard Cite

Introduction: fractal geometry has been implemented to study natures' irregular objects with diverse applications in medicine, from characterizations of human structures such as the division of bronchial or arterial trees to the diagnosis of abnormal cells, as it has been evidenced in the study of neoplasms. In this investigation, a characterization of the degree of irregularity of histologic samples of normal and thyroid gland neoplasms was developed in the context of fractal and Euclidean geometry. Methods: photographs of normal and neoplastic thyroid histologic samples obtained as surgical pieces were processed by a software that allows to delimit the borders of cellular structures. Then, grids of 5 and 10 pixels were superimposed over the images in order to measure their surfaces and occupation spaces through the Box-Counting method. Results: For nucleus measures values between 14 to 34 in the 5 pixels grid and values between 7 to 16 in the 10 pixels grid suggest normality. Conclusions: The surface of the nucleus and the cytoplasm measured by grids of 5 and 10 pixels, allow to carry out a more objective characterizations of both normal and abnormal thyroid cells.

show abstract

Spatio-temporal probabilistic prediction of appearance and duration of malaria outbreak in municipalities of Colombia

Cited by 3 publications

References 13 publications

Mathematical predictive relationship of CD4+ lymphocytes and total leukocytes in HIV-infected patients

Mathematical predictive relationship of CD4+ lymphocytes and total leukocytes in HIV-infected patients

Predicción temporal de CD4+ en 80 pacientes con manejo antirretroviral a partir de valores de leucocitos

Fractal characterization of neoplastic thyroid cells: application of the Box Counting methodology

Contact Info

Product

Resources

About