| dc.contributor.author | Saldaña, Samuel | |
| dc.date.accessioned | 2023-01-20T18:14:08Z | |
| dc.date.available | 2023-01-20T18:14:08Z | |
| dc.date.issued | 2022-01 | |
| dc.identifier | https://revistas.unachi.ac.pa/index.php/pluseconomia/article/view/524 | |
| dc.identifier.issn | 2644-4046 | |
| dc.identifier.uri | http://jadimike.unachi.ac.pa/handle/123456789/733 | |
| dc.identifier.uri | https://revistas.unachi.ac.pa/index.php/pluseconomia/article/view/524 | |
| dc.description.abstract | Since its appearance, Artificial Intelligence (AI) has tried to assume functions of the human, and by its very nature, to be at its service, the consolidation of the understanding of human nature has allowed to generate a route of actions of which medicine is one of them.The high rates of breast cancer in the world make it necessary to add efforts in the detection, analysis and diagnosis, the which contribute to sensitive tasks that require precision and high response time, which is why the need arises to develop an algorithmic model of Deep Learning and Machine Learning in the field of AI, to detect with efficiency the breast cancer.This project is a contrast when comparing the valuations of human specialists reported in the state of the art, the proposal presents a much higher performance than conventional processes. | en_US |
| dc.description.abstract | La Inteligencia Artificial (I.A.) desde su aparición, ha procurado asumir funciones del humano, y por su propia naturaleza, estar al servicio del mismo, la consolidación de la comprensión sobre la naturaleza humana ha permitido generar una ruta de acciones de los cuales la medicina es una ellas.Las altas tasas de cáncer de mama en el mundo obligan sumar esfuerzos en la detección, análisis y diagnóstico, que estas coadyuven a tareas sensible que exige precisión y tiempo de respuesta alta, por lo que surge la necesidad de desarrollar un modelo algorítmico de Deep Learning y Machine Learning en el campo de la I.A., para detectar con eficiencia el cáncer de mama. | es_ES |
| dc.language.iso | es | es_ES |
| dc.publisher | Universidad Autónoma de Chiriquí. | es_ES |
| dc.subject | INTELIGENCIA ARTIFICIAL | es_ES |
| dc.subject | DEEP LEARNING | es_ES |
| dc.subject | MACHINE LEARNING | es_ES |
| dc.subject | ONGOLÓGICO | es_ES |
| dc.subject | NEURONALES ARTIFICIALES | es_ES |
| dc.title | Modelo de inteligencia artificial para el pronóstico de detección de cáncer de mama mediante una red neuronal artificial | es_ES |
| dc.type | Article | es_ES |
