AIMC Topic: Kaplan-Meier Estimate

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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...
Humans Machine Learning Prognosis Middle Aged Risk Assessment Organ Dysfunction Scores Kaplan-Meier Estimate Candidemia Critical Illness Intensive Care Units Female Aged Male
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Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database.

BMC neurology Apr 30, 2025
PURPOSE: This study aims to evaluate the survival and mortality rates of stroke patients after receiving enteral nutrition, and to explore factors influencing long-term survival. With an aging society, nutritional management of stroke patients has be...
Databases, Factual Female Aged Aged, 80 and over Survival Rate Male Middle Aged Stroke Kaplan-Meier Estimate Enteral Nutrition Humans Machine Learning
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Gadoxetic acid-enhanced MRI for identifying cholangiocyte phenotype hepatocellular carcinoma by interpretable machine learning: individual application of SHAP.

BMC cancer Apr 28, 2025
PURPOSE: Cholangiocyte phenotype hepatocellular carcinoma (HCC) is highly invasive. This study aims to develop and validate an optimal machine learning model to predict cholangiocyte phenotype HCC based on T1 mapping gadoxetic acid-enhanced MRI and t...
Female Aged Adult Male Middle Aged Humans Machine Learning Phenotype Prognosis Retrospective Studies Gadolinium DTPA Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Magnetic Resonance Imaging Kaplan-Meier Estimate
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A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.

The Journal of international medical research Apr 25, 2025
ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signature for predicting clinical outcomes in patients with diffuse large B cell lymphoma.MethodsThe cancer-associated fibroblast-related module genes were id...
Humans Machine Learning Prognosis Retrospective Studies Nomograms Cancer-Associated Fibroblasts Kaplan-Meier Estimate Gene Expression Profiling Female Transcriptome Biomarkers, Tumor ROC Curve Lymphoma, Large B-Cell, Diffuse Gene Regulatory Networks Male Gene Expression Regulation, Neoplastic Middle Aged
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A machine learning approach to risk-stratification of gastric cancer based on tumour-infiltrating immune cell profiles.

Annals of medicine Apr 10, 2025
BACKGROUND: Gastric cancer (GC) is a highly heterogeneous disease, and the response of patients to clinical treatment varies substantially. There is no satisfactory strategy for predicting curative effects to date. We aimed to explore a new method fo...
Disease-Free Survival Kaplan-Meier Estimate Middle Aged Risk Assessment Lymphocytes, Tumor-Infiltrating Flow Cytometry Neoplasm Recurrence, Local Humans Machine Learning Prognosis Female Aged Stomach Neoplasms Male
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Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice.

Journal of translational medicine Mar 31, 2025
BACKGROUND: High-grade gliomas are among the most aggressive and deadly brain tumors, highlighting the critical need for improved prognostic markers and predictive models. Recent studies have identified the expression of IL7R as a significant risk fa...
Receptors, Interleukin-7 Female Male Humans Magnetic Resonance Imaging Aged Interleukin-7 Receptor alpha Subunit Middle Aged Machine Learning Neoplasm Grading Adult ROC Curve Algorithms Proportional Hazards Models Radiomics Glioma Prognosis Multivariate Analysis Brain Neoplasms Support Vector Machine Kaplan-Meier Estimate
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Life's Crucial 9 and NAFLD from association to SHAP-interpreted machine learning predictions.

Scientific reports Mar 18, 2025
Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease worldwide. Cardiovascular disease (CVD) and NAFLD share multiple common risk factors. Life's Crucial 9 (LC9), a novel indicator for comprehensive assessment of card...
Risk Factors Aged Adult Male Cardiovascular Diseases Middle Aged Nutrition Surveys Humans Non-alcoholic Fatty Liver Disease Proportional Hazards Models Machine Learning Kaplan-Meier Estimate Female
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Meta-Analysis as Topic Mutation Datasets as Topic Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Immunotherapy Gene Expression Regulation, Neoplastic Treatment Outcome Neoplasm Invasiveness Liver Biomarkers, Tumor Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Single-Cell Gene Expression Analysis Humans Machine Learning Precision Medicine Prognosis Clinical Decision-Making
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Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach.

Scientific reports Mar 4, 2025
The discovery of unique microRNA (miR) patterns and their corresponding genes in sarcoma patients indicates their involvement in cancer development and suggests their potential use in medical management. MiRs were identified from The Cancer Genome At...
MicroRNAs Sarcoma Kaplan-Meier Estimate Middle Aged Computational Biology Gene Expression Regulation, Neoplastic Databases, Genetic Humans Machine Learning Prognosis Female Biomarkers, Tumor Male
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MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival.

Scientific reports Mar 3, 2025
We aimed to predict CD44 expression and assess its prognostic significance in patients with high-grade gliomas (HGG) using non-invasive radiomics models based on machine learning. Enhanced magnetic resonance imaging, along with the corresponding gene...
Humans Machine Learning Prognosis Female Magnetic Resonance Imaging Neoplasm Grading Kaplan-Meier Estimate Hyaluronan Receptors Male Middle Aged Aged ROC Curve Adult Glioma Radiomics Support Vector Machine Biomarkers, Tumor Brain Neoplasms
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