AIMC Topic: Kaplan-Meier Estimate
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Association between albumin-corrected anion gap and delirium in acute pancreatitis: insights from the MIMIC-IV database.
BMC gastroenterology
Aug 5, 2025
BACKGROUND: Delirium frequently occurs as a severe complication among patients with acute pancreatitis (AP), contributing to extended hospital stays, higher mortality rates, and lasting cognitive deficits. The pathogenesis of delirium in this setting...
Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer.
Annals of medicine
Aug 3, 2025
BACKGROUND: Most models of neoadjuvant chemotherapy (NACT) for breast cancer (BC) suffer from insufficient data and lack interpretability. Additionally, there is a notable absence of reports from China in this field. This study is also the first to i...
Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.
Scientific reports
Aug 2, 2025
To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30-day and 1-year mortality in ischemic stroke (IS) patients and to analyze the mediating effect of the HGI on the relationship between age and mortalit...
Machine learning-based dynamic CEA trajectory and prognosis in gastric cancer.
BMC cancer
Jul 26, 2025
BACKGROUND: Static carcinoembryonic antigen (CEA) levels are well‑established prognostic markers in patients with gastric cancer, but the significance of their dynamic trajectories over time has rarely been reported.
Clinical diagnostic and prognostic value of homocysteine combined with hemoglobin [f (Hcy-Hb)] in cardio-renal syndrome caused by primary acute myocardial infarction.
Journal of translational medicine
Jul 23, 2025
BACKGROUND: Cardio-renal syndrome (CRS), characterized by multi-organ interaction, is frequently overlooked in clinical practice. It poses significant challenges in treatment, leading to poor long-term prognosis and substantial economic burden on pat...
Explainable machine learning-driven models for predicting Parkinson's disease and its prognosis: obesity patterns associations and models development using NHANES 1999-2018 data.
Lipids in health and disease
Jul 17, 2025
BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative condition, the effect of obesity on PD remains controversial. We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine l...
The prognostic value of immunoscore in the early-onset colorectal cancer.
BMC gastroenterology
Jul 10, 2025
BACKGROUND: The purpose of this study was to explore the prognostic value of Immunoscore in patients with early-onset colorectal cancer.
Machine learning for synchronous bone metastasis risk prediction in high grade lung neuroendocrine carcinoma.
Scientific reports
Jul 9, 2025
Bone metastasis (BM) is common in high-grade lung neuroendocrine tumors (NETs). This study aimed to use multiple machine learning algorithms to exploring the significant factors associated with synchronous BM in these patients. Patients diagnosed wit...
Interpretable machine learning models for survival prediction in prostate cancer bone metastases.
Scientific reports
Jul 6, 2025
Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate survival prediction is essential for managing these typically incurable patients. However, existing clinical models lack precision. This study seeks t...
Development and validation of a modified SOFA score for mortality prediction in candidemia patients.
Scientific reports
Jul 1, 2025
Candidemia is a life-threatening bloodstream infection associated with high mortality rates, particularly in critically ill patients. Accurate risk stratification is crucial for timely intervention and could improve patient outcomes. This study aimed...
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