A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction

A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction

Hospital overcrowding, driven by both structural management challenges and widespread medical emergencies, has prompted extensive research into machine learning (ML) solutions for predicting patient length of stay (LOS) to optimize bed allocation. While many existing models simplify the LOS predicti...

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Bibliographic Details
Main Authors: Anna Annunziata, Salvatore Cappabianca, Salvatore Capuozzo, Nicola Coppola, Camilla Di Somma, Ludovico Docimo, Giuseppe Fiorentino, Michela Gravina, Lidia Marassi, Stefano Marrone, Domenico Parmeggiani, Giorgio Emanuele Polistina, Alfonso Reginelli, Caterina Sagnelli, Carlo Sansone
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Big Data and Cognitive Computing
Subjects:
pneumonia
convolutional neural network
CT
features extraction
features selection
Online Access:https://www.mdpi.com/2504-2289/8/12/178
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