AIMC Topic: Models, Statistical

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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...
Humans Hemorrhoids Adult Male Middle Aged Machine Learning Logistic Models Female Models, Statistical Aged Elective Surgical Procedures Risk Assessment Postoperative Complications
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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...
Humans Machine Learning Computer Simulation Precision Medicine Liver Neoplasms Models, Statistical Carcinoma, Hepatocellular Observational Studies as Topic
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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...
Deep Learning China India Models, Statistical Air Pollutants Carbon Dioxide Neural Networks, Computer Machine Learning
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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...
Survival Analysis Proportional Hazards Models Algorithms Models, Statistical Heart Failure Humans Machine Learning
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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...
Finite Element Analysis Models, Statistical Stents Humans Machine Learning Software Computer Simulation
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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...
China Time Factors Autoencoder Autonomous Vehicles Models, Statistical Bayes Theorem Accidents, Traffic
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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...
Humans Male Retrospective Studies Solitary Pulmonary Nodule Tomography, X-Ray Computed Middle Aged Aged Deep Learning Female Models, Statistical Risk Assessment Adult Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Multiple Pulmonary Nodules
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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...
Humans Diagnostic Imaging Uncertainty Brain Image Processing, Computer-Assisted Machine Learning Models, Statistical Algorithms
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Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset.

PloS one Dec 31, 2024
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies. Traditional methods typically rely on a Poisson distribution for modeling claim counts; ...
Insurance Regression Analysis Humans Machine Learning Poisson Distribution Support Vector Machine Neural Networks, Computer Automobiles Models, Statistical
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Dynamic Statistical Attention-based lightweight model for Retinal Vessel Segmentation: DyStA-RetNet.

Computers in biology and medicine Dec 28, 2024
BACKGROUND AND OBJECTIVE: Accurate extraction of retinal vascular components is vital in diagnosing and treating retinal diseases. Achieving precise segmentation of retinal blood vessels is challenging due to their complex structure and overlapping v...
Models, Statistical Retinal Vessels Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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