Conferencia
Permanent URI for this collectionhttps://hdl.handle.net/11285/636053
Presentación o disertación realizada dentro de un congreso o evento similar, o como evento académico independiente, tales como: Conferencia inaugural, conferencia magistral, conferencia de clausura.
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- Semantic web in medical diagnosis and complexity applied: systematic literature review(Springer Link, 2024-10-23) Jiménez-Botello, L.C.; Rozo-García, H.; García-Peñalvo, F.J. & Ramírez-Montoya, M.S.; https://ror.org/03ayjn504Semantic Web (SW) constitutes a significant evolution in management and application of information in different disciplines including medicine, where it can be useful in complex thought processes such as medical diagnosis. Objective of this study was to know how SW is related to medical diagnosis within the context of complexity. To achieve it, a systematic literature review (SLR) was carried out, with keywords “Semantic Web” and “Medical Diagnosis” from 2014 to 2024, using the SCOPUS (8 documents) and WoS (6 documents) databases. answering 4 questions, grouped into two topics: Characteristics of the studies and Semantic Web and Diagnosis. Results indicated: a) In addition to “Semantic Web” and “Medical Diagnosis” The most frequent keywords are: “semantic segmentation” and “medical images”, which suggests that greatest application of SW is in images; b) A single semantic methodology is not observed in studies, however, they are based on three main methodologies: fuzzy semantics, neural networks and semantic segmentation; c) Main uses of SW in medicine are in: Diagnosis, Prediction and Decision Making; d) Types of complex thinking identified are: Scientific thinking and Systemic thinking. This study contributes to understanding how SW has been applied to complex thought processes as relevant as medical diagnosis and contributes to understanding how SW has evolved with a view to its application in other areas of medicine.
- Unveiling success: an analysis of academic performance predictors in a private high school in mexico through learning analytics(Springer Link, 2024-08-05) Velarde Camaqui, Davis; Peláez Sánchez, Iris Cristina; Viehmann, Cristina Mariana; https://ror.org/03ayjn504The article explores the effect of fathers’ educational level and high school type on the academic performance of students in three faculties of a private university in Mexico. Learning analytics helps to this research, so the study uses a quantitative analysis and a two-factor ANOVA model to examine the relationship between socioeconomic variables and academic variables on student performance. The dataset includes sociodemographic and academic information of first-semester students, as well as enrollment in different academic programs. The results show that students who graduated from the same system preparatory school have higher academic performance compared to students who did not. Additionally, the educational level of the father has a significant effect on academic performance. When analyzing results by academic career, it is observed that the effect of type of high school on academic performance is significant in the Medicine population but not in the Engineering population. There is also a significant difference in academic performance between the type of high school graduates and non-graduates in the Engineering population. In conclusion, the study highlights the importance of socioeconomic variables and high school characteristics in predicting academic performance. The findings can provide insights for improving educational practices and interventions to enhance student outcomes.
