AIMC Topic: Models, Statistical

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Prediction of mortality in heart failure by machine learning. Comparison with statistical modeling.

European journal of internal medicine Jan 28, 2025
BACKGROUND: Assessing the relative performance of machine learning (ML) methods and conventional statistical methods in predicting prognosis in heart failure (HF) still remains a challenging research field.
Middle Aged Female Humans Heart Failure Aged Logistic Models Machine Learning Male Models, Statistical Prognosis
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Sexual dimorphism of the humerus bones in a French sample: comparison of several statistical models including machine learning models.

International journal of legal medicine Jan 25, 2025
Sex estimation is an important part of skeletal analysis and forensic identification. Traditionally pelvic traits are utilized for accurate sex estimation. However, the long bones, especially humerus, have been proved to be as effective for determine...
Middle Aged Logistic Models Support Vector Machine Humans Models, Statistical Discriminant Analysis Young Adult France Sex Determination by Skeleton Adult Neural Networks, Computer Humerus Male Machine Learning Forensic Anthropology Female
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Statistical models versus machine learning approach for competing risks in proctological surgery.

Updates in surgery Jan 25, 2025
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for pr...
Male Middle Aged Risk Assessment Elective Surgical Procedures Postoperative Complications Humans Female Hemorrhoids Logistic Models Aged Machine Learning Models, Statistical Adult
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Multicategory matched learning for estimating optimal individualized treatment rules in observational studies with application to a hepatocellular carcinoma study.

Statistical methods in medical research Jan 23, 2025
One primary goal of precision medicine is to estimate the individualized treatment rules that optimize patients' health outcomes based on individual characteristics. Health studies with multiple treatments are commonly seen in practice. However, most...
Precision Medicine Liver Neoplasms Carcinoma, Hepatocellular Observational Studies as Topic Models, Statistical Humans Machine Learning Computer Simulation
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An examination of daily CO emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models.

Environmental science and pollution research international Jan 13, 2025
Human-induced global warming, primarily attributed to the rise in atmospheric CO, poses a substantial risk to the survival of humanity. While most research focuses on predicting annual CO emissions, which are crucial for setting long-term emission mi...
Models, Statistical Air Pollutants Neural Networks, Computer Carbon Dioxide Machine Learning Deep Learning China India
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Survival parametric modeling for patients with heart failure based on Kernel learning.

BMC medical research methodology Jan 11, 2025
Time-to-event data are very common in medical applications. Regression models have been developed on such data especially in the field of survival analysis. Kernels are used to handle even more complicated and enormous quantities of medical data by i...
Proportional Hazards Models Humans Models, Statistical Machine Learning Heart Failure Algorithms Survival Analysis
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Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies.

Computer methods and programs in biomedicine Jan 6, 2025
The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, but challenges remain, particularly in cardiovascular ap...
Software Computer Simulation Models, Statistical Humans Machine Learning Stents Finite Element Analysis
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Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks.

Accident; analysis and prevention Jan 3, 2025
With the continuous development of intelligent transportation systems, traffic safety has become a major societal concern, and vehicle trajectory anomaly detection technology has emerged as a crucial method to ensure safety. However, current technolo...
Time Factors Models, Statistical Bayes Theorem Accidents, Traffic China Autoencoder Autonomous Vehicles
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Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups.

European radiology Jan 2, 2025
OBJECTIVES: Incidentally detected pulmonary nodules present a challenge in clinical routine with demand for reliable support systems for risk classification. We aimed to evaluate the performance of the lung-cancer-prediction-convolutional-neural-netw...
Adult Male Middle Aged Tomography, X-Ray Computed Female Humans Aged Retrospective Studies Multiple Pulmonary Nodules Risk Assessment Solitary Pulmonary Nodule Models, Statistical Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms
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Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.

IEEE transactions on medical imaging Jan 2, 2025
Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausible, semantic hypotheses. In Machine Learning, this ambiguity is commonl...
Image Processing, Computer-Assisted Machine Learning Models, Statistical Algorithms Diagnostic Imaging Humans Brain Uncertainty
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