Semi-supervised incremental learning with few examples for discovering medical association rules

Background: Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful in the medical domain, for example in the predictive health field. Classic algorithms for association rule mining give rise to huge amounts of possible rules that should be filtered in order to select those most likely to be true. Most of the proposed techniques for these tasks are unsupervised. However, the accuracy provided by unsupervised systems is limited. Conversely, resorting to annotated data for training supervised systems is expensive and time-consuming. The purpose of this research is to design a new semi-supervised algorithm that performs like supervised algorithms but uses an affordable amount of training data. Methods: In this work we propose a new semi-supervised data mining model that combines unsupervised techniques (Fisher's exact test) with limited supervision. Starting with a small seed of annotated data, the model improves results (F-measure) obtained, using a fully supervised system (standard supervised ML algorithms). The idea is based on utilising the agreement between the predictions of the supervised system and those of the unsupervised techniques in a series of iterative steps. Results: The new semi-supervised ML algorithm improves the results of supervised algorithms computed using the F-measure in the task of mining medical association rules, but training with an affordable amount of manually annotated data. Conclusions: Using a small amount of annotated data (which is easily achievable) leads to results similar to those of a supervised system. The proposal may be an important step for the practical development of techniques for mining association rules and generating new valuable scientific medical knowledge.This work has been partially supported by projects DOTT-HEALTH (PID2019-106942RB-C32, MCI/AEI/FEDER, UE). (Design of the study. Analysis and interpretation of data) and EXTRAE II (IMIENS 2019). (Design of the study. Analysis and interpretation of data. HUF corpus manual tagging. Writing of the manuscript), PI18CIII/00004 “Infobanco para uso secundario de datos basado en estándares de tecnología y conocimiento: implementación y evaluación de un infobanco de salud para CoRIS (Info-bank for the secondary use of data based on technology and knowledge standards: implementation and evaluation of a health info-bank for CoRIS) – SmartPITeS” (Data collection and HUF corpus construction), and PI18CIII/00019 - PI18/00890 - PI18/00981 “Arquitectura normalizada de datos clínicos para la generación de infobancos y su uso secundario en investigación: solución tecnológica (Clinical data normalized architecture for the genaration of info-banks and their secondary use in research: technological solution) – CAMAMA 4” (Data collection and HUF corpus construction) from Fondo de Investigación Sanitaria (FIS) Plan Nacional de I+D+i.S

Occurrence of toxic cyanobacterial blooms in Rio de la Plata Estuary, Argentina: field study and data analysis

Water samples were collected during 3 years (20042007) at three sampling sites in the Rio de la Plata estuary. Thirteen biological, physical, and chemical parameters were determined on the water samples. The presence of microcystin-LR in the reservoir samples, and also in domestic water samples, was confirmed and quantified. Microcystin-LR concentration ranged between 0.02 and 8.6µg.L -1. Principal components analysis was used to identify the factors promoting cyanobacteria growth. The proliferation of cyanobacteria was accompanied by the presence of high total and fecal coliforms bacteria (1500MNP/100mL), temperature ≥25ºC, and total phosphorus content ≥1.24mgL -1. The observed fluctuating patterns of Microcystis aeruginosa, total coliforms, and Microcystin-LR were also described by probabilistic models based on the log-normal and extreme value distributions. The sampling sites were compared in terms of the distribution parameters and the probability of observing high concentrations for Microcystis aeruginosa, total coliforms, and microcystin-LR concentration.Facultad de Ciencias Exacta

COMPARATIVE ANALYSIS OF TEMPORAL PARAMETERS OF DIFFERENT TECHNIQUES OF THE FREESTYLE FLIP TURN

This study aimed to describe and compare temporal parameters of four different turning techniques of Freestyle swimming flip turn. 17 national level swimmers participated in this study. After practicing sessions, the swimmers performed three times each of the four analyzed techniques. Performance was videotaped using six video cameras and the analyzed variables were: rolling time, wall contact time, pushing time, gliding time and total turn time. No differences were found between the techniques for any variable. Apparently, the choice of the technique can be made accordingly to the swimmer’s subjective preference, or based on the objective performance differences casuistically sustained. However, future studies are needed and additional performance indicators should be analyzed to provide a better understating regarding the different technique

Cortical morphology changes in women with borderline personality disorder: a multimodal approach

Objective: Borderline personality disorder (BPD) is a devastating condition that causes intense disruption of patients' lives and relationships. Proper understanding of BPD neurobiology could help provide the basis for earlier and effective interventions. As neuroimaging studies of patients with BPD are still scarce, volumetric and geometric features of the cortical structure were assessed to ascertain whether structural cortical alterations are present in BPD patients. Methods: Twenty-five female outpatients with BPD underwent psychiatric evaluation (SCID-I and II) and a 1.5 T magnetic resonance imaging (MRI) brain scan. The control group comprised 25 healthy age-matched females. Images were processed with the FreeSurfer package, which allows analysis of cortical morphology with more detailed descriptions of volumetric and geometric features of cortical structure. Results: Compared with controls, BPD patients exhibited significant cortical abnormalities in the fronto-limbic and paralimbic regions of both hemispheres. Conclusion: Significant morphologic abnormalities were observed in patients with BPD on comparison with a healthy control group through a multimodal approach. This study highlights the involvement of regions associated with mood regulation, impulsivity, and social behavior in BPD patients and presents a new approach for further investigation through a method of structural analysis based on distinct and simultaneous volumetric and geometric parameters.Universidade Federal de São Paulo (UNIFESP) Department of Psychiatry Interdisciplinary Laboratory of Clinical NeurosciencesUniversidade Federal do ABC Center of Mathematics, Computation and CognitionUniversidade Federal de São Paulo (UNIFESP) Department of Diagnostic RadiologyUniversidade Federal de São Paulo (UNIFESP) Department of Psychiatry Outpatient Clinic for Personality Disorders (AMBORDER)UNIFESP, Department of Psychiatry Interdisciplinary Laboratory of Clinical NeurosciencesUNIFESP, Department of Diagnostic RadiologyUNIFESP, Department of Psychiatry Outpatient Clinic for Personality Disorders (AMBORDER)SciEL

Resumen de la Tarea de Análisis de Sentimientos Basado en Aspectos en Portugués (ABSAPT) en IberLEF 2022

Este artículo presenta la Tarea sobre Análisis de Sentimientos basado en Aspectos en Portugués (ABSAPT), realizada en el IberLEF 2022. Les pedimos a los participantes que desarrollaran sistemas capaces de identificar aspectos (AE) y extraer la polaridad (ASC) en textos escritos en portugués. Doce equipos se inscribieron en la tarea, entre los cuales cinco presentaron predicciones e informes técnicos. El sistema con mejor rendimiento logró un valor de precisión (Acc) de 0,67 para la subtarea de AE (Equipo Deep Learning Brasil) y un valor de precisión equilibrada (Bacc) de 0,82 para la subtarea de ASC (Equipo Deep Learning Brasil).This paper presents the task on Aspect-Based Sentiment Analysis in Portuguese (ABSAPT), held within Iberian Languages Evaluation Forum (IberLEF 2022). We asked the participants to develop systems capable of extracting aspects (AE) and classifying sentiment of aspects (ASC) in texts. We created one corpora containing reviews about hotels. Twelve teams registered to the task, among which five submitted predictions and technical reports. The best performing system achieved an Accuracy (Acc) value of 0.67 in AE sub-task (Team Deep Learning Brasil) and a Balanced Accuracy (Bacc) value of 0.82 in ASC sub-task (Team Deep Learning Brasil).This work was financed in part by the following Brazilian research agencies: CAPES and CNPq

Occurrence of toxic cyanobacterial blooms in Rio de la Plata Estuary, Argentina: field study and data analysis

Water samples were collected during 3 years (20042007) at three sampling sites in the Rio de la Plata estuary. Thirteen biological, physical, and chemical parameters were determined on the water samples. The presence of microcystin-LR in the reservoir samples, and also in domestic water samples, was confirmed and quantified. Microcystin-LR concentration ranged between 0.02 and 8.6µg.L -1. Principal components analysis was used to identify the factors promoting cyanobacteria growth. The proliferation of cyanobacteria was accompanied by the presence of high total and fecal coliforms bacteria (1500MNP/100mL), temperature ≥25ºC, and total phosphorus content ≥1.24mgL -1. The observed fluctuating patterns of Microcystis aeruginosa, total coliforms, and Microcystin-LR were also described by probabilistic models based on the log-normal and extreme value distributions. The sampling sites were compared in terms of the distribution parameters and the probability of observing high concentrations for Microcystis aeruginosa, total coliforms, and microcystin-LR concentration.Facultad de Ciencias Exacta

Relevance of a Hypersaline Sodium-Rich Naturally Sparkling Mineral Water to the Protection against Metabolic Syndrome Induction in Fructose-Fed Sprague-Dawley Rats: A Biochemical, Metabolic, and Redox Approach

The Metabolic Syndrome increases the risk for atherosclerotic cardiovascular disease and type 2 Diabetes Mellitus. Increased fructose consumption and/or mineral deficiency have been associated with Metabolic Syndrome development. This study aimed to investigate the effects of 8 weeks consumption of a hypersaline sodium-rich naturally sparkling mineral water on 10% fructose-fed Sprague-Dawley rats (Metabolic Syndrome animal model). The ingestion of the mineral water (rich in sodium bicarbonate and with higher potassium, calcium, and magnesium content than the tap water used as control) reduced/prevented not only the fructose-induced increase of heart rate, plasma triacylglycerols, insulin and leptin levels, hepatic catalase activity, and organ weight to body weight ratios (for liver and both kidneys) but also the decrease of hepatic glutathione peroxidase activity and oxidized glutathione content. This mineral-rich water seems to have potential to prevent Metabolic Syndrome induction by fructose. We hypothesize that its regular intake in the context of modern diets, which have a general acidic character interfering with mineral homeostasis and are poor in micronutrients, namely potassium, calcium, and magnesium, could add surplus value and attenuate imbalances, thus contributing to metabolic and redox health and, consequently, decreasing the risk for atherosclerotic cardiovascular disease

Caspase-8 mediates inflammation and disease in rodent malaria

Earlier studies indicate that either the canonical or non-canonical pathways of inflammasome activation have a limited role on malaria pathogenesis. Here, we report that caspase-8 is a central mediator of systemic inflammation, septic shock in the Plasmodium chabaudi-infected mice and the P. berghei-induced experimental cerebral malaria (ECM). Importantly, our results indicate that the combined deficiencies of caspases-8/1/11 or caspase-8/gasdermin-D (GSDM-D) renders mice impaired to produce both TNFalpha and IL-1beta and highly resistant to lethality in these models, disclosing a complementary, but independent role of caspase-8 and caspases-1/11/GSDM-D in the pathogenesis of malaria. Further, we find that monocytes from malaria patients express active caspases-1, -4 and -8 suggesting that these inflammatory caspases may also play a role in the pathogenesis of human disease