Efectividad del portafolio virtual autorreflexivo en el aprendizaje autodirigido de los estudiantes de Cirugía I. Escuela de Medicina Humana, Universidad Privada Antenor Orrego, 2019 – I

El portafolio educativo sirve como instrumento usado en el proceso de desarrollo de capacidades reflexivas y de aprendizaje autodirigido (AAD) en la formación de profesionales de la salud. El objetivo de la presente investigación de tipo pretest y post-test de un solo grupo fue evaluar la efectividad del portafolio virtual autoreflexivo en el aprendizaje autodirigido en los estudiantes del curso de Cirugía I en el semestre académico 2019-I de la Escuela de Medicina de la Universidad Privada Antenor Orrego. Se analizó una base de datos que incluyó a 189 estudiantes (75 hombres y 114 mujeres). Para la evaluación del AAD se utilizó la escala validada de Fisher, King y Tague conformado por tres dimensiones y 40 ítems (autogestión: 13 ítems, deseo de aprendizaje: 12 ítems y autocontrol: 15 ítems). En esta cohorte de estudiantes hubo un incremento significativo en el puntaje global del AAD al final del curso, en comparación con su nivel inicial, luego de la aplicación del portafolio virtual autoreflexivo (p=0.000). Asimismo, este instrumento fue efectivo en la mejora en las dimensiones autogestión (p=0.000), deseo de aprendizaje (p=0.000) y autocontrol (p=0.000). El portafolio autoreflexivo es una herramienta educativa efectiva en la mejora del AAD.The educational portfolio serves as an instrument used in the process of development of reflective capacities and self-directed learning (SDL) in the training of health professionals. The objective of the present investigation of a single group pre-test and post-test type was to evaluate the effectiveness of the self-reflective virtual portfolio in self-directed learning in students of the Surgery I course in the academic semester 2019-I of the School of Medicine from the Antenor Orrego Private University. A database that included 189 students (75 men and 114 women) was analyzed. For the evaluation of the SDL, the validated scale of Fisher, King and Tague was used, made up of three dimensions and 40 items (self-management: 13 items, desire to learn: 12 items, and self-control: 15 items). In this cohort of students, there was a significant increase in the overall SDL score at the end of the course, compared to its initial level, after the application of the self-reflective virtual portfolio (p = 0.000). Likewise, this instrument was effective in improving the dimensions of self-management (p = 0.000), desire to learn (p = 0.000) and self-control (p = 0.000).Tesi

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts