Redes neuronales aplicadas a la detección y diagnóstico del Cáncer de Mama, una revisión sistemática de la literatura científica de los últimos 5 años

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2022, Volume and Issue: 1, P. 3 - 3

Published: Sept. 24, 2022

One of the fatal diseases that occurs in women is breast cancer and associated with late diagnosis poor access to medical care according patient's needs, therefore neural networks play a relevant role detection aims be support guarantee its accuracy reliability results. Therefore, aim present systematic review learn how help improve through image recognition. For this, formula generated PICO methodology was used; Likewise, first result 203 investigations related topic based on established inclusion exclusion criteria, 20 final free scientific articles were selected from Scopus database. In relation results, it found use cancer, especially convolutional (CNN), has proven promising tool early disease, reaching achieve an 98 % recognition clinical images, which means big difference compared traditional methods. On other hand, although there are challenges such as limited availability high-quality data sets bias training data, suggested investigate development methods integrate multiple sources information deep learning techniques.

Language: Английский

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Classification model for student dropouts using machine learning: A case study

ICST Transactions on Scalable Information Systems, Journal Year: 2023, Volume and Issue: unknown

Published: June 15, 2023

Information and communication technologies have been fulfilling a highly relevant role in the different fields of knowledge, addressing problems various disciplines; there is an increased capacity to identify patterns anomalies organization's data using mining; In this context, study aimed develop classification model for student dropout, applying machine learning with autoML method H2O.ai framework; dimensionality socioeconomic academic characteristics has taken into account, purpose that directors make reasonable decisions counteract abandonment students programs. The methodology used was technological type, purposeful level, incremental innovation, temporal scope, synchronous; collection prospective. For this, 20-item questionnaire applied 237 enrolled master's degree programs education Graduate School. research resulted supervised model, Gradient Reinforcement Machine (GBM), classify thus identifying main associated factors influence obtaining Gini coefficient 92.20%, AUC 96.10% LogLoss 24.24% representing efficient performance.

Language: Английский

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Support vector machine with optimized parameters for the classification of patients with COVID-19

EAI Endorsed Transactions on Pervasive Health and Technology, Journal Year: 2023, Volume and Issue: 9, P. e8 - e8

Published: June 20, 2023

Introduction. The COVID-19 pandemic has had a significant impact worldwide, especially in health, where it is crucial to identify patients at high risk of clinical deterioration early. Objective. This study aimed design model based on the support vector machine (SVM) algorithm, optimizing its parameters classify with suspected COVID-19. Methodology. One thousand patient records from two health establishments Peru were used. After applying data preprocessing and variable engineering, sample was reduced 700 records. construction followed learning methodology, using linear, polynomial, sigmoid, radial kernel functions, along their estimated optimal parameters, ensure best performance. Results. results revealed that SVM linear sigmoid kernels presented an accuracy 95%, surpassing polynomial 94% (RBF) 94%. In addition, value 0.92 obtained for Cohen's kappa, which measures degree agreement between predictions actual results, indicates excellent deal kernel. Conclusions. conclusion, could be valuable tool identifying context pandemic.

Language: Английский

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Artificial intelligence and its impact on job opportunities among university students in North Lima, 2023

ICST Transactions on Scalable Information Systems, Journal Year: 2023, Volume and Issue: 10(5)

Published: Sept. 6, 2023

Introduction: Artificial intelligence is a technology that replaces human activities, favors business productivity and raises concerns about job losses economic social challenges. Method: The research uses quantitative approach non-experimental study design with correlational scope. It identifies two variables: artificial (AI) opportunity. evaluates students of the Adult Education Program (PFA) Universidad César Vallejo. Data collection was done through virtual survey Likert scale questions. Results: conducted descriptive analysis opportunities. A moderate positive correlation observed between both variables, suggesting significant relationship level opportunities respondents. Discussion: reveals knowledge perception important to adapt this global improve employability. Conclusion: findings support transforms society labor market. Although 86% know AI, most need more training in field, even areas projected growth AI-related employment.

Language: Английский

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Contribution of graph theory to the understanding of social dynamics

AWARI, Journal Year: 2023, Volume and Issue: 4

Published: Aug. 18, 2023

This review article examines how graph theory has contributed significantly to understanding social dynamics by discussing its applicability network analysis. A predominantly qualitative study was carried out, with a scoping design aimed at this set of tools facilitates studying human interactions and the structure groups. The main results highlighted key concepts such as centrality, clusters, connectivity, resilience, well their applications analyzing phenomena information diffusion, opinion formation, disease spread, cohesion. In addition, methodological challenges limitations were examined, propose future directions for interdisciplinary research that delve into interaction between mathematics sciences, especially Social Psychology applied collective behavior

Language: Английский

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Approach to global regulations around AI

LatIA, Journal Year: 2023, Volume and Issue: 1, P. 7 - 7

Published: Dec. 31, 2023

Regulation of artificial intelligence (AI) varies significantly globally, reflecting different approaches and priorities. These trends underscore the need to balance technological innovation with rights protection security. The purpose this article is examine main challenges in regulation AI, a comprehensive view how governments European Union, China United States address complex crucial issue due their involvement as great government powers. . at economic social pyolytic level. study was based on bibliographic review whose search intentional towards publications from journals indexed electronic databases such Scopus, Web Science Google Scholar. findings demonstrate that Union has established framework AI ​​Law, imposing specific restrictions requiring transparency establish global standard similar GDPR. China, for its part, transitioning fragmented approach more unified regulation. introduction holistic law creation national office indicate an effort consolidate regulatory framework, improving consistency efficiency risk management. In States, remains gradual decentralized, initiatives both federal state levels. Although efforts like ​​Bill Rights are significant, lack poses coherence applicability challenges.

Language: Английский

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An Analysis of Research Trends and Knowledge Structure in the Field of Affordable and Clean Energy

EAI Endorsed Transactions on Energy Web, Journal Year: 2022, Volume and Issue: 9(6), P. e4 - e4

Published: Nov. 25, 2022

INTRODUCTION: Energy is the foundation of all human endeavors and intertwined with progress. The access to sustainable energy services a fundamental requirement for development, encompassing poverty eradication, food security, health, well-being, education quality. Affordable clean explicitly recognized as one 17 development goals.OBJECTIVE: analyse research trends knowledge structure in field affordable energy.METHODS: This study was based on descriptive bibliometric analysis SDGs 7 "Affordable Clean Energy". Scopus database used source information, between 2012 2021.RESULTS: trend documents reveals steady increase number published papers related this topic, indicating growing interest activity researching disseminating information about energy. It observed that international collaboration accounts 21.8% analyzed documents, significant involvement researchers from different countries. Engineering emerges leading subject area 591,146 scholarly outputs, strong focus technological advancements innovation.CONCLUSIONS: Scientific production has experienced growth, reflecting an increasing solutions. However, it important recognize not translated into greater impact recognition scientific community. Although more being generated, its influence seems be diminishing. Countries participate joint obtain higher citations, importance establishing linkages maximize visibility research.

Language: Английский

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El servicio educativo de calidad y el aprendizaje por competencias de los estudiantes de los Centros Técnicos Productivos de la UGEL N. 01, distrito de Villa el Salvador, Lima, 2019

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2022, Volume and Issue: 1, P. 90 - 90

Published: Sept. 28, 2022

La presente investigación denominada "El servicio educativo de calidad y el aprendizaje por competencias los estudiantes Centros Técnicos Producción la UGEL N. 01, distrito Villa El Salvador, Lima, 2019" tuvo como objetivo general, determinar relación entre CETPROS 01- Salvador- 2019. método utilizado fue hipotético-deductivo, diseño no experimental correlacional nivel transversal. población aproximadamente 200 estudiantes, muestra probabilística. Para recolección datos se aplicó un cuestionario sobre del educativo, cual constó 21 preguntas en escala Likert (Nunca, Casi Nunca, Algunas Veces, Siempre, Siempre). En caso otra variable, tomaron referencia las actas notas profesores CETPROS. concluye que existen evidencias para afirmar están correlacionados ya coeficiente correlación Rho Spearman arrojó valor 0,820, lo significa que, si es excelente, 01 tendrán logro sobresaliente competencias.

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Applications of Artificial Intelligence in Marketing: An Approach from the Patent Record

Published: Jan. 1, 2024

Language: Английский

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Self-management of water: uses of rainwater harvesting. The case of Sierra de Mexico

Salud Ciencia y Tecnología - Serie de Conferencias, Journal Year: 2024, Volume and Issue: 3, P. 695 - 695

Published: April 8, 2024

Introduction: rainwater harvesting and self-management of water are promising approaches to address scarcity limited access safe drinking water. These require the active participation individuals communities, fostering solidarity, cooperation trust among them. At same time, it is essential be supported by government policies that promote facilitate implementation systems establish a sound regulatory basis for their effective use. Methods: mixed approach was used, combining benefits qualitative research with documentary reviews. This allowed us examine describe key aspects related self-management, social capital role in harvesting, especially community La Lupita Lerma, State Mexico. Results: this has implemented traditional strategies cope scarcity, such as use reservoirs. However, challenges supply persist, during dry season. Conclusions: necessary integral solutions combine governmental actions education on responsible

Language: Английский

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