Development and implementation of an end-to-end causal inference workflow integrating large language and causal generative models
| Autor: | |
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universidad Politécnica de Madrid |
| Repositorio: | Archivo Digital UPM |
| OAI Identifier: | oai:oa.upm.es:94628 |
| Acceso en línea: | https://oa.upm.es/94628/ |
| Access Level: | acceso abierto |
| Palabra clave: | Large Language Models (LLMs) Generative Artificial Intelligence Causal Inference Causal Discovery Retrieval-Augmented Generation (RAG) Hallucination Mitigation Causal Generative Models Python Treatment Effects Biomedical Causal Analysis Real-World Medical Data |
| Descripción no disponible. |