AIMC Topic: Risk Assessment
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Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering.
PloS one
Mar 11, 2025
To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. Firstly, based on operational r...
Intelligent risk stratification of hypertension based on ambulatory blood pressure monitoring and machine learning algorithms.
Physiological measurement
Mar 10, 2025
. Risk stratification of hypertension plays a crucial role in the treatment decisions and medication guidance during clinical practices. Although fruitful achievements have been reported on risk stratification of hypertension, the potential use of am...
Addressing underestimation and explanation of retinal fundus photo-based cardiovascular disease risk score: Algorithm development and validation.
Computers in biology and medicine
Mar 9, 2025
OBJECTIVE: To resolve the underestimation problem and investigate the mechanism of the AI model which employed to predict cardiovascular disease (CVD) risk scores from retinal fundus photos.
Using Natural Language Processing in the LACE Index Scoring Tool to Predict Unplanned Trauma and Surgical Readmissions in South Africa.
World journal of surgery
Mar 9, 2025
BACKGROUND: Unplanned and potentially avoidable readmission within 30 days post discharge is a major financial burden.
Predictive value of machine learning for in-hospital mortality risk in acute myocardial infarction: A systematic review and meta-analysis.
International journal of medical informatics
Mar 8, 2025
BACKGROUND: Machine learning (ML) models have been constructed to predict the risk of in-hospital mortality in patients with myocardial infarction (MI). Due to diverse ML models and modeling variables, along with the significant imbalance in data, th...
Ensemble-learning approach improves fracture prediction using genomic and phenotypic data.
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
Mar 7, 2025
UNLABELLED: This study presents an innovative ensemble machine learning model integrating genomic and clinical data to enhance the prediction of major osteoporotic fractures in older men. The Super Learner (SL) model achieved superior performance (AU...
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea.
BMC medical informatics and decision making
Mar 7, 2025
BACKGROUND: Retinal vein occlusion (RVO) is a leading cause of vision loss globally. Routine health check-up data-including demographic information, medical history, and laboratory test results-are commonly utilized in clinical settings for disease r...
Prediction of postpartum depression in women: development and validation of multiple machine learning models.
Journal of translational medicine
Mar 7, 2025
BACKGROUND: Postpartum depression (PPD) is a significant public health issue. This study aimed to develop and validate machine learning (ML) models using biopsychosocial predictors to predict the risk of PPD for perinatal women and to provide several...
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...
Gene Expression Regulation, Neoplastic
Treatment Outcome
Neoplasm Invasiveness
Liver
Liver Neoplasms
Carcinoma, Hepatocellular
Single-Cell Gene Expression Analysis
Immunotherapy
Microvessels
Immune Checkpoint Proteins
Meta-Analysis as Topic
Mutation
Datasets as Topic
Kaplan-Meier Estimate
Humans
Machine Learning
Precision Medicine
Prognosis
Clinical Decision-Making
Biomarkers, Tumor
Risk Assessment
Machine learning enhanced immunologic risk assessments for solid organ transplantation.
Scientific reports
Mar 7, 2025
The purpose of this study was to enhance the prediction of solid-organ recipient and donor crossmatch compatibility by applying machine learning (ML). Prediction of crossmatch compatibility is complex and requires an understanding of the recipient an...
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