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Predictive analysis of hospital stay after caesarean section: a single-center study
Caesarean section (CS) rate has seen a significant increase in recent years, especially in
industrialized countries. There are, in fact, several causes that justify a CS; however …
industrialized countries. There are, in fact, several causes that justify a CS; however …
Language Models for Hierarchical Classification of Radiology Reports with Attention Mechanisms, BERT and GPT-4
Radiology reports are a valuable source of textual information used to improve clinical care
and support research. In recent years, deep learning techniques have been shown to be …
and support research. In recent years, deep learning techniques have been shown to be …
Machine learning techniques for prognosis estimation and knowledge discovery from lab test results with application to the COVID-19 emergency
AI and Machine Learning (ML) offer powerful tools to support clinical decision making in
emergency situations such as the COVID-19 pandemic. In this context, the application of ML …
emergency situations such as the COVID-19 pandemic. In this context, the application of ML …
Predicting the negative conversion time of nonsevere COVID‐19 patients using machine learning methods
J Ye, X Shao, Y Yang, F Zhu - Journal of Medical Virology, 2023 - Wiley Online Library
Based on the patient's clinical characteristics and laboratory indicators, different machine‐
learning methods were used to develop models for predicting the negative conversion time …
learning methods were used to develop models for predicting the negative conversion time …
Sustainable Use of Resources in Hospitals: A Machine Learning-Based Approach to Predict Prolonged Length of Stay at the Time of Admission
ABSTRACT Introduction. Length of Stay (LOS) and Prolonged Length of Stay (pLOS) are
critical indicators of hospital efficiency. Reducing pLOS is crucial for patient safety …
critical indicators of hospital efficiency. Reducing pLOS is crucial for patient safety …
A Systematic Approach to Identify Health System Resilience Indicators Using Artificial Neural Network Algorithm
According to the World Health Organization (WHO), a health system comprises all
organizations, people, and actions that aim to promote, restore, or maintain health [1]. Health …
organizations, people, and actions that aim to promote, restore, or maintain health [1]. Health …
Prediction of Short or Long Length of Stay COVID-19 by Machine Learning
Aim: The aim of this study is to utilize machine learning techniques to accurately predict the
length of stay for Covid-19 patients, based on basic clinical parameters. Material and …
length of stay for Covid-19 patients, based on basic clinical parameters. Material and …
Optimizing Resource Allocation in Public Healthcare: A Machine Learning Approach for Length-of-Stay Prediction
P PERLITI SCORZONI, A Giovanetti, F Bolelli… - … of Artificial Intelligence …, 2025 - iris.unimore.it
Effective hospital resource management hinges on established metrics such as Length of
Stay (LOS) and Prolonged Length of Stay (pLOS). Reducing pLOS is associated with …
Stay (LOS) and Prolonged Length of Stay (pLOS). Reducing pLOS is associated with …
[KIRJA][B] Applying Systems Thinking and Machine Learning Techniques to Identify Leverage Points for Intervening in Perioperative Opioid Use and Develo** Risk …
Y Huang - 2024 - search.proquest.com
Materials and Methods: In chapter 1, I undertook a systematic review and meta-analysis, and
investigated the percentage of adult patients scheduled for general surgeries who received …
investigated the percentage of adult patients scheduled for general surgeries who received …
Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling
Most ML-based applications for COVID-19 assess the general conditions of a patient trained
and tested on cohorts of patients collected over a short period of time and are capable of …
and tested on cohorts of patients collected over a short period of time and are capable of …