Mixed linear programming models for fruits and vegetables supply from family farms to rural schools as support for public policies

The School Feeding Program of Paraguay (PAEP) has the function of providing food for children in elementary schools. Due to there are no efficient supply plans to aid local suppliers, we are interested in to minimize the purchase and transport costs and to maximize the local purchase subject to the school demand satisfaction in the benefited area.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

QoE estimation in mobile networks using machine learning

Quality of experience (QoE) can be defined as the overall level of acceptability of an application or service, as perceived by the end-user. The perceived QoE of mobile user plays a key role in the business of the telecom carriers. This work has focused in design a model capable of predicting the QoE of the end-user using a number of Machine Learning approaches, based on quality of service (QoS) metrics from different sources like the mobile device, the mobile network and also subjective metrics given by the user (QoE and Mood surveys) in a real life setup. An android app, a metric collection platform, a system for data processing and semi-automatic analysis of metrics has been developed as a part of this work. The experimental results show that by assembling a combined model of the algorithms with best observed individual performance, improvements in the overall performance of the prediction can be achieved.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Map-elites algorithm for features selection problem

In the High-dimensional data analysis there are several challenges in the fields of machine learning and data mining. Typically, feature selection is considered as a combinatorial optimization problem which seeks to remove irrelevant and redundant data by reducing computation time and improve learning measures. Given the complexity of this problem, we propose a novel Map-Elites based Algorithm that determines the minimum set of features maximizing learning accuracy simultaneously. Experimental results, on several data based from real scenarios, show the effectiveness of the proposed algorithm.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Integrated, reliable and cloud-based personal health record: a scoping review.

Personal Health Records (PHR) emerge as an alternative to integrate patient’s health information to give a global view of patients' status. However, integration is not a trivial feature when dealing with a variety electronic health systems from healthcare centers. Access to PHR sensitive information must comply with privacy policies defined by the patient. Architecture PHR design should be in accordance to these, and take advantage of nowadays technology. Cloud computing is a current technology that provides scalability, ubiquity, and elasticity features. This paper presents a scoping review related to PHR systems that achieve three characteristics: integrated, reliable and cloud-based. We found 101 articles that addressed thosecharacteristics. We identified four main research topics: proposal/developed systems, PHR recommendations for development, system integration and standards, and security and privacy. Integration is tackled with HL7 CDA standard. Information reliability is based in ABE security-privacy mechanism. Cloud-based technology access is achieved via SOA.CONACYT - Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Machine Learning Algorithm for Features Selection Problem

Presentación realizada en el marco del Proyecto: Monitoreo de Dispositivos Móviles y Descarga de Datos en Redes Colaborativas - MOSAICPyCONACYT - Consejo Nacional de Ciencias y TecnologíaPROCIENCI

Dataset from fundus images for the study of diabetic retinopathy.

This article presents a database containing 757 color fun dus images acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas (FCM), Universidad Nacional de Asunción (UNA), Paraguay. Firstly, the retinal images were acquired with a clinical procedure presented in this paper. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Next, two expert ophthalmologists have classified the dataset. These data can help physicians and researchers in the detection of cases of Non-Proliferative Diabetic Retinopa thy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The dataset generated will be useful for ophthalmologists and researchers to work on automatic detection algorithms for Diabetic Retinopathy (DR).CONACYT - Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Historial de salud personal unico, confiable y ubicuo

Existen centros asistenciales que continúan registrando los datos de la historia clínica del paciente de manera autónoma generando información fragmentada. Aquellos que cuentan con un sistema de Historia Clínica Electrónica (HCE) generalmente no poseen mecanismos de interoperabilidad, o bien existen implementaciones de manera ad-hoc entre sistemas. En consecuencia el historial clínico se encuentra distribuido en los centros asistenciales en los cuales consulto el paciente. Este trabajo propone una arquitectura interoperable de sistema de Historial de Salud Personal (HSP) centralizado en la nube para la unificación de historiales clínicos y el acceso ubicuo a los datos junto con los mecanismos de privacidad y seguridad de datos. Se presenta la implementación de un prototipo para el área de pediatría, el cual se encuentra en fase de evaluación por profesionales de la Sociedad Paraguaya de Pediatría(SPP).CONACYT - Consejo Nacional de Ciencias y TecnologíaPROCIENCI

Parallel evolutionary biclustering of short-term electric energy consumption

Presentación realizada en el marco del Proyecto PINV18-661: Análisis de la eficiencia energética en edificios no residenciales mediante técnicas metaheurísticas y de inteligencia artificial.CONACYT - Consejo Nacional de Ciencias y TecnologíaPROCIENCI

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

Historial de Salud Personal

El objetivo del proyecto es mejorar la organización y el acceso al historial de salud de pacientes a través de un sistema de historial de salud personal confiable, único y accesible ubicuamente. Se adjunta un tríptico de avances y resultados del proyecto.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI