AIMC Topic: Risk Factors

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Machine learning model for postpancreaticoduodenectomy haemorrhage prediction: an international multicentre cohort study.

BMJ open Jul 16, 2025
OBJECTIVES: To develop and validate a machine learning model for precise risk stratification of postpancreaticoduodenectomy haemorrhage (PPH), enabling early identification of high-risk patients to guide clinical intervention.
China Machine Learning Postoperative Hemorrhage Retrospective Studies Pancreaticoduodenectomy Female Risk Factors Aged Male Middle Aged Risk Assessment Humans
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Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator.

PloS one Jul 16, 2025
BACKGROUND: Sepsis-associated delirium (SAD) occurs due to disruptions in neurotransmission linked to inflammatory responses from infections. It poses significant challenges in clinical management and is associated with poor outcomes. Survivors often...
Machine Learning Algorithms Retrospective Studies Critical Illness Humans Male Middle Aged Risk Assessment Sepsis Delirium Intensive Care Units Female Risk Factors Aged
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Machine learning survival models for Non-alcoholic fatty liver disease based on a health checkup cohort.

BMC gastroenterology Jul 15, 2025
OBJECTIVES: This study aimed to develop an accurate prediction model for the risk of Non-alcoholic fatty liver disease (NAFLD) using the random survival forests (RSF), and to investigate the distribution of NAFLD risk with time.
Adult Male Middle Aged Risk Assessment Machine Learning Retrospective Studies Female Risk Factors Non-alcoholic Fatty Liver Disease Proportional Hazards Models Humans
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Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Scientific reports Jul 15, 2025
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complication, exerting substantial impacts on both short-term and long-term patient prognoses. The primary objective of our investigation was to develop a machin...
Algorithms Female Risk Factors Aged Humans Machine Learning ROC Curve Heart Failure Colorectal Neoplasms Colectomy Male Middle Aged Postoperative Complications
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Characterizing individual and methodological risk factors for survey non-completion using machine learning: findings from the U.S. Millennium Cohort Study.

BMC medical research methodology Jul 14, 2025
BACKGROUND: Missing survey data can threaten the validity and generalizability of findings from longitudinal cohort studies. Respondent characteristics and survey attributes may contribute to patterns of survey non-completion, a form of missing data ...
Adult Male Middle Aged Surveys and Questionnaires Cohort Studies United States Longitudinal Studies Machine Learning Algorithms Female Risk Factors Humans
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The association between cerebral small vessel disease and unfavorable hematoma morphology in primary intracerebral hemorrhage.

Annals of medicine Jul 13, 2025
OBJECTIVE: To study the association between cerebral small vessel diseases (CSVD) and unfavorable hematoma morphology in primary intracerebral hemorrhage (ICH).
Hematoma White Matter Cerebral Small Vessel Diseases Female Risk Factors Aged Male Middle Aged China Magnetic Resonance Imaging Humans Cerebral Hemorrhage Machine Learning Retrospective Studies
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Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

Scientific reports Jul 12, 2025
An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesized, but the causal link and shared mechanisms remain unclear. This study integrates epidemiological and bioinformatics approaches to investigate thei...
Male Transcription Factors Humans Female Middle Aged SARS-CoV-2 MicroRNAs Machine Learning Gene Regulatory Networks Risk Factors Glaucoma, Open-Angle COVID-19 Computational Biology Aged Biomarkers
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Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection.

Scientific reports Jul 12, 2025
Hilar cholangiocarcinoma (hCCA), a rare cancer of the biliary system, has a poor prognosis. This study aimed to investigate the risk factors affecting the survival of patients with hCCA after curative-intent resection and establish a survival predict...
Aged Machine Learning Nomograms Adult Prognosis Humans Bile Duct Neoplasms Male Female Klatskin Tumor Risk Factors Middle Aged
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Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Scientific reports Jul 12, 2025
Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the general population, significantly affecting morbidity and mortality. However, existing predictive models often lack sufficient accuracy and interpretability...
Boosting Machine Learning Algorithms Risk Assessment Inpatients Hemoglobins Gastrointestinal Hemorrhage Machine Learning Aged Retrospective Studies Aged, 80 and over Female Humans Male Risk Factors Middle Aged
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Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms.

Scientific reports Jul 12, 2025
Right ventricular dysfunction (RVD) is strongly associated with increased mortality in patients with acute pulmonary embolism (PE), making its early detection crucial. Identifying RVD risk factors rapidly, accurately, and economically within the acut...
Humans Machine Learning Algorithms Female Risk Factors Aged Aged, 80 and over Supervised Machine Learning Male Middle Aged Pulmonary Embolism Ventricular Dysfunction, Right
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