[HTML][HTML] Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm …

Y Fei, K Gao, W Li - Hpb, 2019 - Elsevier
Background To predict the risk and severity of acute respiratory distress syndrome (ARDS)
following severe acute pancreatitis (SAP) by artificial neural networks (ANNs) model …

Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis

Y Fei, K Gao, W Li - Pancreatology, 2018 - Elsevier
Objective The aim of this study is to predict the risk of severe acute pancreatitis (SAP)
associated with acute lung injury (ALI) by artificial neural networks (ANNs) model. Methods …

[HTML][HTML] To Establish an Early Prediction Model for Acute Respiratory Distress Syndrome in Severe Acute Pancreatitis Using Machine Learning Algorithm

W Zhang, Y Chang, Y Ding, Y Zhu, Y Zhao… - Journal of Clinical …, 2023 - mdpi.com
Objective: To develop binary and quaternary classification prediction models in patients with
severe acute pancreatitis (SAP) using machine learning methods, so that doctors can …

[HTML][HTML] Development and external validation of models to predict acute respiratory distress syndrome related to severe acute pancreatitis

YL Li, DD Zhang, YY Xiong, RF Wang… - World Journal of …, 2022 - ncbi.nlm.nih.gov
BACKGROUND Acute respiratory distress syndrome (ARDS) is a major cause of death in
patients with severe acute pancreatitis (SAP). Although a series of prediction models have …

A prediction model for acute respiratory distress syndrome among patients with severe acute pancreatitis: a retrospective analysis

F Lin, R Lu, D Han, Y Fan, Y Zhang… - … in Respiratory Disease, 2022 - journals.sagepub.com
Background: Acute respiratory distress syndrome (ARDS) is a severe complication among
patients with severe acute pancreatitis (SAP), which may be associated with increased …

[HTML][HTML] Early prediction of acute respiratory distress syndrome complicated by acute pancreatitis based on four machine learning models

M Zhang, M Pang - Clinics, 2023 - SciELO Brasil
Highlights ML can be a practical and effective early prediction method of AP complicated by
ARDS. PaO2, CRP, PCT, LA, Ca2+, NLR, WBC, and AMY were used as the optimal subset …

[HTML][HTML] Usefulness of random forest algorithm in predicting severe acute pancreatitis

W Hong, Y Lu, X Zhou, S Jin, J Pan, Q Lin… - Frontiers in Cellular …, 2022 - frontiersin.org
Background and Aims This study aimed to develop an interpretable random forest model for
predicting severe acute pancreatitis (SAP). Methods Clinical and laboratory data of 648 …

[HTML][HTML] Application value of the automated machine learning model based on modified computed tomography severity index combined with serological indicators in …

R Zhang, M Yin, A Jiang, S Zhang, L Liu… - Journal of Clinical …, 2024 - journals.lww.com
Results: A total of 499 patients were used to develop the models in the training data set. An
independent data set of 201 patients was used to test the models. The model developed by …

Establishment and validation of a nomogram prediction model for the severe acute pancreatitis

B Li, W Wu, A Liu, L Feng, B Li, Y Mei… - Journal of …, 2023 - Taylor & Francis
Background Severe acute pancreatitis (SAP) can progress to lung and kidney dysfunction,
and blood clotting within 48 hours of its onset, and is associated with a high mortality rate …

Prediction of acute lung injury in severe acute pancreatitis by routine clinical data

M Jia, X Xu, S Zhou, H Liu, Y Zhao, Y Xu… - European Journal of …, 2023 - journals.lww.com
Aim Acute lung injury (ALI) is a common complication of severe acute pancreatitis (SAP) with
a high mortality. Early prediction of patients at risk in initial stage can improve the long-term …