AIMC Topic: Models, Statistical

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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; ...
Poisson Distribution Models, Statistical Regression Analysis Humans Neural Networks, Computer Machine Learning Support Vector Machine Automobiles Insurance
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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...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Models, Statistical Retinal Vessels
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Non-invasive screening for laryngeal cancer using the oral cavity as a proxy for differentiation of laryngeal cancer versus leukoplakia: A novel application of ESS technology and artificial intelligence supported statistical modeling.

American journal of otolaryngology Dec 24, 2024
OBJECTIVE: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscopy (ESS) measurements obtained in the oral cavity can be used as a proxy to accurately differentiate between patients with laryngeal cancer versus lary...
Mouth Humans Early Detection of Cancer Spectrum Analysis Models, Statistical Artificial Intelligence Laryngeal Neoplasms Aged Diagnosis, Differential Sensitivity and Specificity Machine Learning Male Algorithms Middle Aged Female Leukoplakia
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Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models.

Indian journal of ophthalmology Dec 24, 2024
PURPOSE: To evaluate various supervised machine learning (ML) statistical models to predict anatomical outcomes after macular hole (MH) surgery using preoperative optical coherence tomography (OCT) features.
Preoperative Period Vitrectomy Retinal Perforations Middle Aged Treatment Outcome Follow-Up Studies Tomography, Optical Coherence Supervised Machine Learning Female Models, Statistical Humans Visual Acuity Aged Retrospective Studies Male
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Area under the ROC Curve has the most consistent evaluation for binary classification.

PloS one Dec 23, 2024
The proper use of model evaluation metrics is important for model evaluation and model selection in binary classification tasks. This study investigates how consistent different metrics are at evaluating models across data of different prevalence whi...
Evaluation Studies as Topic Machine Learning Area Under Curve ROC Curve Sample Size Models, Statistical Data Interpretation, Statistical
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DDP-DAR: Network intrusion detection based on denoising diffusion probabilistic model and dual-attention residual network.

Neural networks : the official journal of the International Neural Network Society Dec 18, 2024
Network intrusion detection (NID) is an effective manner to guarantee the security of cyberspace. However, the scale of normal network traffic is much larger than intrusion traffic (i.e., appearing data imbalance problem), which leads to the training...
Models, Statistical Computer Security Humans Neural Networks, Computer Algorithms
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Spatiotemporal modeling of long-term PM concentrations and population exposure in Greece, using machine learning and statistical methods.

The Science of the total environment Dec 18, 2024
The lack of high-resolution, long-term PM observations in Greece and the Eastern Mediterranean hampers the development of spatial models that are crucial for providing representative exposure estimates to health studies. This work presents a spatial ...
Humans Machine Learning Spatio-Temporal Analysis Air Pollution Particulate Matter Environmental Exposure Greece Environmental Monitoring Models, Statistical Air Pollutants
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An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques.

BMC medical informatics and decision making Dec 18, 2024
BACKGROUND: Diabetes mellitus (DM) is a chronic disease prevalent worldwide, requiring a multifaceted analytical approach to improve early detection and subsequent mitigation of morbidity and mortality rates. This research aimed to develop an explain...
Male Middle Aged Diabetes Mellitus Support Vector Machine Models, Statistical Female Humans Aged Neural Networks, Computer Adult Artificial Intelligence
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TransformerLSR: Attentive joint model of longitudinal data, survival, and recurrent events with concurrent latent structure.

Artificial intelligence in medicine Dec 16, 2024
In applications such as biomedical studies, epidemiology, and social sciences, recurrent events often co-occur with longitudinal measurements and a terminal event, such as death. Therefore, jointly modeling longitudinal measurements, recurrent events...
Models, Statistical Survival Analysis Recurrence Humans Kidney Transplantation Deep Learning Longitudinal Studies
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A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana.

PLoS neglected tropical diseases Dec 13, 2024
BACKGROUND: Snakebite envenoming is a serious condition that affects 2.5 million people and causes 81,000-138,000 deaths every year, particularly in tropical and subtropical regions. The World Health Organization has set a goal to halve the deaths an...
Male Middle Aged Adolescent Female Young Adult Humans Adult Supervised Machine Learning Child Ghana Antivenins Models, Statistical Snake Bites Bayes Theorem
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