ArticleScientific reports2023
Machine learning for post-acute pancreatitis diabetes mellitus prediction and personalized treatment recommendations.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.PLoS medicine · 2025Pooled it
- Risk factors for diabetes mellitus after acute pancreatitis: a systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- An interpretable radiomics model based on contrast‑enhanced pancreatic computed tomography for predicting the prognosis of post-acute pancreatitis diabetes mellitus.BMC medical imaging · 2026Article
- A hybrid BiLSTM and rule-based system for integrated diabetes prediction and personalized guidance.PloS one · 2026Article
- The Metabolic Legacy of Acute Pancreatitis: Post-Pancreatitis Diabetes Mellitus.Clinical and experimental gastroenterology · 2026Review
- Combining MRI dual-sequence radiomics and clinical parameters predicts post-hypertriglyceridemic acute pancreatitis diabetes mellitus.Frontiers in endocrinology · 2026Article
- Interpretable model based on MRI radiomics to predict the expression of Ki-67 in breast cancer.Scientific reports · 2025Article
- Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus.Scientific reports · 2025Article
- Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.Frontiers in immunology · 2025Article
- A predictive nomogram for post-acute pancreatitis diabetes mellitus: a retrospective study.Archives of medical science : AMS · 2025Article
- Radiological and Biochemical Parameters in Assessing Acute Pancreatitis Severity: A Comprehensive Review.Cureus · 2024Review
- A radiomics model of contrast-enhanced computed tomography for predicting post-acute pancreatitis diabetes mellitus.Quantitative imaging in medicine and surgery · 2024Article
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10 authors.
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Abstract
Post-acute pancreatitis diabetes mellitus (PPDM-A) is the main component of pancreatic exocrine diabetes mellitus. Timely diagnosis of PPDM-A improves patient outcomes and the mitigation of burdens and costs. We aimed to determine risk factors prospectively and predictors of PPDM-A in China, focusing on giving personalized treatment recommendations. Here, we identify and evaluate the best set of predictors of PPDM-A prospectively using retrospective data from 820 patients with acute pancreatitis at four centers by machine learning approaches. We used the L1 regularized logistic regression model to diagnose early PPDM-A via nine clinical variables identified as the best predictors. The model performed well, obtaining the best AUC = 0.819 and F1 = 0.357 in the test set. We interpreted and personalized the model through nomograms and Shapley values. Our model can accurately predict the occurrence of PPDM-A based on just nine clinical pieces of information and allows for early intervention in potential PPDM-A patients through personalized analysis. Future retrospective and prospective studies with multicentre, large sample populations are needed to assess the actual clinical value of the model.
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