2026-06-28T20:40:35Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1055702025-03-18T15:38:02Zcom_20.500.14352_1col_20.500.14352_8

00925njm 22002777a 4500 dc García Barragán, Alvaro author 2023 Clinical records are written in natural language and, therefore, they consist of unstructured information. The objective of the project is to structure the information from clinical records of breast cancer patients in a public hospital in Madrid in order to obtain useful information for physicians. In this way, the proposal is to perform the structuring process using deep neural networks for entity classification, specifically Named Entity Recognition (NER), in combination with other NLP techniques. Ultimately, a semi-structured database in JSON format will be generated, containing the structured clinical records, which can be further processed for various purposes. https://hdl.handle.net/20.500.14352/105570 Structuring electronic health records of breast cancer with Natural Language Processing