In the field of the software for the management of the Electronic health record, a project was carried out for the design and integration of a deep learning model for the classification of deliveries entered by each professional figure in each patient's diary. In this project, different NLP techniques and different algorithms were used for the construction of a model capable of cataloging sentences written in natural language on the basis of their importance. The goal was to produce a system that could help the various professionals within social health and social assistance organizations to improve the method of entering entries in the diary, in order to make this functionality more and more informative.
Nel panorame dei software per la gestione della cartella clinica informatizzata, si è svolto un progetto atto alla progettazione e all’integrazione di un modello di deep learning per la classificazione delle consegne inserite da ogni figura professionale nel diario di ciascun paziente. In questo progetto sono state utilizzate diverse tecniche di NLP e diversi algoritmi per la costruzione di un modello in grado di catalogare frasi scritte in linguaggio naturale sulla base della loro importanza. L’obiettivo è stato quello di produrre un sistema che potesse aiutare le varie figure professionali all’interno di residenze socio-sanitarie a migliorare il metodo di inserimento delle consegne nel diario, in modo da rendere questa funzionalitá sempre piú informativa.
Clinical report relevance classification
PIAZZA, FABIO
2019/2020
Abstract
In the field of the software for the management of the Electronic health record, a project was carried out for the design and integration of a deep learning model for the classification of deliveries entered by each professional figure in each patient's diary. In this project, different NLP techniques and different algorithms were used for the construction of a model capable of cataloging sentences written in natural language on the basis of their importance. The goal was to produce a system that could help the various professionals within social health and social assistance organizations to improve the method of entering entries in the diary, in order to make this functionality more and more informative.File | Dimensione | Formato | |
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NLP_tesi.pdf
solo utenti autorizzati dal 25/11/2021
Descrizione: Clinical report relevance classification
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https://hdl.handle.net/10589/171052