AIMC Topic: Probability

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Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.

International journal of radiation oncology, biology, physics Mar 10, 2024
PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of d...
Cluster Analysis Unsupervised Machine Learning Head and Neck Neoplasms Support Vector Machine Radiotherapy Dosage Osteoradionecrosis Mandibular Diseases Organs at Risk Probability Adult Male Risk Assessment Mandible Middle Aged Female Aged Humans Retrospective Studies
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An explainable machine learning-based probabilistic framework for the design of scaffolds in bone tissue engineering.

Biomechanics and modeling in mechanobiology Feb 28, 2024
Recently, 3D-printed biodegradable scaffolds have shown great potential for bone repair in critical-size fractures. The differentiation of the cells on a scaffold is impacted among other factors by the surface deformation of the scaffold due to mecha...
Bone and Bones Tissue Engineering Tissue Scaffolds Polyesters Stress, Mechanical Humans Computer Simulation Probability Machine Learning
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Enhancing adversarial attacks with resize-invariant and logical ensemble.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2024
In black-box scenarios, most transfer-based attacks usually improve the transferability of adversarial examples by optimizing the gradient calculation of the input image. Unfortunately, since the gradient information is only calculated and optimized ...
Neural Networks, Computer Probability
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Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2024
Class imbalance problem (CIP) in a dataset is a major challenge that significantly affects the performance of Machine Learning (ML) models resulting in biased predictions. Numerous techniques have been proposed to address CIP, including, but not limi...
Probability Algorithms Support Vector Machine Machine Learning
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Cancer detection and classification using a simplified binary state vector machine.

Medical & biological engineering & computing Feb 1, 2024
Cancer is an invasive and malignant growth of cells and is known to be one of the most fatal diseases. Its early detection is essential for decreasing the mortality rate and increasing the probability of survival. This study presents an efficient mac...
Neural Networks, Computer Neoplasms Support Vector Machine Probability Machine Learning Algorithms
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A QUEST for Model Assessment: Identifying Difficult Subgroups via Epistemic Uncertainty Quantification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 11, 2024
Uncertainty quantification in machine learning can provide powerful insight into a model's capabilities and enhance human trust in opaque models. Well-calibrated uncertainty quantification reveals a connection between high uncertainty and an increase...
Probability Machine Learning Humans Uncertainty Benchmarking Neural Networks, Computer
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Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study.

PloS one Jan 5, 2024
BACKGROUND: Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times.
Machine Learning Ambulances Retrospective Studies Probability Reaction Time Norway
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Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study.

Journal of medical Internet research Dec 29, 2023
BACKGROUND: Traditional methods for investigating work hours rely on an employee's physical presence at the worksite. However, accurately identifying break times at the worksite and distinguishing remote work outside the worksite poses challenges in ...
Smartphone Probability Humans Machine Learning Neural Networks, Computer Algorithms
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Darwinian evolution has become dogma; AI can rescue what is salvageable.

Progress in biophysics and molecular biology Dec 23, 2023
Artificial Intelligence (AI), as an academic discipline, is traceable to the mid-1950s but it is currently exploding in applications with successes and concerns. AI can be defined as intelligence demonstrated by computers, with intelligence difficult...
Probability Artificial Intelligence Earth, Planet Intelligence
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Different policies constrained agricultural non-point pollutants emission trading management for water system under interval, fuzzy, and stochastic information.

Environmental research Dec 10, 2023
Formulating suitable policies is essential for resources and environmental management. In this study, an agricultural pollutants emission trading management model driven by water resources and pollutants control is developed to search reasonable poli...
Water Quality China Uncertainty Fuzzy Logic Water Resources Agriculture Probability Models, Theoretical
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