Modelado de tópicos aplicado al análisis del papel del aprendizaje automático en revisiones sistemáticas

Aguirre, Andrés Mauricio Grisales; Figueroa-Vallejo, Carlos Julio

doi:10.19053/20278306.v12.n2.2022.15271

Cited by 2 publications

(3 citation statements)

References 64 publications

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“…It is this system that provides the individual with a series of reference mechanisms on which to regulate the process of perception and evaluation of one’s behaviour in such a way that how the results obtained from daily actions are interpreted functions as an input and can modify performance at a later level [ 54 ]. It is interesting, as Yang et al [ 55 ] found, low self-efficacy is associated with an increased risk of worsening disease in chronic patients because chronic patients tend to increase pain intensity [ 56 ].…”

Section: Discussionmentioning

confidence: 99%

Psychometric properties of the self-efficacy scale for chronic disease management (SEMCD-S) in older Colombian adults

Cudris-Torres,

Alpi,

Barrios-Núñez

et al. 2023

BMC Psychol

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Background Self-efficacy alludes to personal competence in an individual’s effectiveness when facing stressful situations. This construct has been related to different domains of the health field, finding that high levels of self-efficacy benefit human functioning and enhance well-being. Methods The present study aimed to determine the psychometric properties of the self-efficacy scale for managing chronic diseases (SEMCD-S) by assessing factorial, convergent and divergent validity, reliability, and measurement invariance. Likewise, the comparison of self-efficacy according to socio-demographic characteristics was proposed by contrasting latent factors. An instrumental, transactional, descriptive, and non-experimental design study was carried out with the participation of 325 Colombian senior citizens. Results The findings suggest that the scale has appropriate psychometric properties. The one-factor structure exhibited a satisfactory fit, the mean-variance extracted reported acceptable figures and the correlation analysis with other constructs supported this instrument’s convergent and discriminant validity. Likewise, it was invariant to the different socio-demographic aspects examined, while the internal consistency figures were high. Differences in the means of the latent factors were only detected in the academic grade. In this case, older adults with a primary school level attained higher self-efficacy values than those who had completed high school or university studies. Conclusions It is concluded that the self-efficacy scale for chronic disease management is a valid and reliable instrument that can be used in the Colombian context to measure and compare this construct.

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Section: Discussionmentioning

confidence: 99%

Psychometric properties of the self-efficacy scale for chronic disease management (SEMCD-S) in older Colombian adults

Cudris-Torres,

Alpi,

Barrios-Núñez

et al. 2023

BMC Psychol

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“…Likewise, sensitivity or recall represents the proportion of correctly classified positive cases [66]. Equation (2) shows the expression to determine sensitivity [67].…”

Section: Accuracy Tp Tn Tp Tn Fp Fnmentioning

confidence: 99%

“…AUC represents the probability of correctly classifying a randomly chosen positive class rather than a randomly chosen negative one [66]. Equation (3) shows the expression to determine the area under the curve.…”

Section: Recall Tp Tp Fnmentioning

confidence: 99%

K-Fold Cross-Validation through Identification of the Opinion Classification Algorithm for the Satisfaction of University Students

Chamorro-Atalaya,

Arévalo-Tuesta,

Balarezo-Mares

et al. 2023

Int. J. Onl. Eng.

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When using machine-learning techniques to determine algorithms or ranking models that identify student satisfaction, algorithms are often trained and tested on a single data set, leading to bias in their performance metrics. This article aims to identify the best algorithm to classify the satisfaction of university students applying the K-fold cross-validation technique, comparing the error rates of the performance metrics before and after its application. The method used began with the collection of student opinions on the teaching performance of the social network Twitter during an academic semester. Then, sentiment analysis was used for data processing, through which it was possible to categorize the opinions of the students into “satisfied” or “dissatisfied.” The results showed that the algorithm with the lowest error rate in its performance metric was the support vector machine (SVM). In addition, it was identified that its classification probability reached an accuracy of 91.76%. It is concluded that SVM classification using K-fold cross-validation will contribute to determining which factors associated with the teacher’s didactic strategies should be improved in each class session, since traditional surveying techniques have shortcomings.

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Modelado de tópicos aplicado al análisis del papel del aprendizaje automático en revisiones sistemáticas

Cited by 2 publications

References 64 publications

Psychometric properties of the self-efficacy scale for chronic disease management (SEMCD-S) in older Colombian adults

Psychometric properties of the self-efficacy scale for chronic disease management (SEMCD-S) in older Colombian adults

K-Fold Cross-Validation through Identification of the Opinion Classification Algorithm for the Satisfaction of University Students

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