BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
Keyword: Prediction model
1
Medical imaging for pancreatic diseases: Prediction of severe acute pancreatitis complicated with acute respiratory distress syndrome
11/25/2022 2:19:16 AM | Browse: 181 | Download: 335
2
Prediction of moderately severe and severe acute pancreatitis in pregnancy: Few issues
8/31/2022 11:27:53 AM | Browse: 225 | Download: 356
3
Development and validation of a risk prediction score for the severity of acute hypertriglyceridemic pancreatitis in Chinese patients
8/31/2022 11:27:52 AM | Browse: 252 | Download: 474
4
Development and validation of a prediction model for moderately severe and severe acute pancreatitis in pregnancy
4/15/2022 8:25:28 AM | Browse: 345 | Download: 606
5
Comments on validation of conventional non-invasive fibrosis scoring systems in patients with metabolic associated fatty liver disease
2/9/2022 7:25:27 AM | Browse: 313 | Download: 538
6
Development and validation of a prediction model for deep vein thrombosis in older non-mild acute pancreatitis patients
10/26/2021 8:04:00 AM | Browse: 364 | Download: 821
7
Validation and head-to-head comparison of four models for predicting malignancy in intraductal papillary mucinous neoplasm of the pancreas: A study based on endoscopic ultrasound findings
11/15/2019 7:45:48 AM | Browse: 700 | Download: 1216
8
Estimating the survival benefit of adjuvant therapy based on bayesian network prediction model in curative resected advanced gallbladder adenocarcinoma
9/30/2019 2:14:06 AM | Browse: 765 | Download: 1535
9
Score model for predicting acute-on-chronic liver failure risk in chronic hepatitis B
7/22/2015 2:02:00 PM | Browse: 1034 | Download: 1934
10
BLEED-Myocardial Infarction Score: Predicting mid-term post-discharge bleeding events
8/27/2014 6:41:00 PM | Browse: 920 | Download: 753
Write to the Help Desk
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

California Corporate Number: 3537345