AIMC Topic: Probability

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A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability.

BMC medical informatics and decision making Nov 28, 2023
BACKGROUND: Intelligent cardiotocography (CTG) classification can assist obstetricians in evaluating fetal health. However, high classification performance is often achieved by complex machine learning (ML)-based models, which causes interpretability...
Pregnancy Female Humans Machine Learning Cardiotocography Probability Support Vector Machine Cluster Analysis
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Implementation and empirical evaluation of a quantum machine learning pipeline for local classification.

PloS one Nov 13, 2023
In the current era, quantum resources are extremely limited, and this makes difficult the usage of quantum machine learning (QML) models. Concerning the supervised tasks, a viable approach is the introduction of a quantum locality technique, which al...
Algorithms Probability Machine Learning
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Calibrating machine learning approaches for probability estimation: A comprehensive comparison.

Statistics in medicine Oct 17, 2023
Statistical prediction models have gained popularity in applied research. One challenge is the transfer of the prediction model to a different population which may be structurally different from the model for which it has been developed. An adaptatio...
Models, Statistical Probability Humans Machine Learning Software Logistic Models
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An improved multiply robust estimator for the average treatment effect.

BMC medical research methodology Oct 11, 2023
BACKGROUND: In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the average treatment effect (ATE). How...
Humans Machine Learning Models, Statistical Probability Computer Simulation Longitudinal Studies
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Drug Intelligence Science (DIS®): Pioneering a high-resolution translational platform to enhance the probability of success for drug discovery and development.

Drug discovery today Oct 5, 2023
Translational research has a crucial role in bridging the gap between basic biology discoveries and their clinical applications. Deep scientific understanding and advanced technology platforms are both crucial for translational research. Here, I desc...
Intelligence Probability Drug Discovery Humans Artificial Intelligence Machine Learning
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Insight Extraction From E-Health Bookings by Means of Hypergraph and Machine Learning.

IEEE journal of biomedical and health informatics Oct 5, 2023
New technologies are transforming medicine, and this revolution starts with data. Usually, health services within public healthcare systems are accessed through a booking centre managed by local health authorities and controlled by the regional gover...
Databases, Factual Supervised Machine Learning Telemedicine Probability Machine Learning Algorithms Humans
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Human-machine cooperation meta-model for clinical diagnosis by adaptation to human expert's diagnostic characteristics.

Scientific reports Sep 27, 2023
Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in medical image diagnosis. However, due to liability issues in medical decisions, AI is often relegated to an assistant role. Based on this responsibility ...
Knowledge Artificial Intelligence Physicians Humans Intelligence Probability
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Mean-field neural networks: Learning mappings on Wasserstein space.

Neural networks : the official journal of the International Neural Network Society Sep 16, 2023
We study the machine learning task for models with operators mapping between the Wasserstein space of probability measures and a space of functions, like e.g. in mean-field games/control problems. Two classes of neural networks based on bin density a...
Neural Networks, Computer Machine Learning Algorithms Probability
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Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model.

Neural networks : the official journal of the International Neural Network Society Sep 9, 2023
Deep neural networks have become increasingly significant in our daily lives due to their remarkable performance. The issue of adversarial examples, which are responsible for the vulnerability problem of deep neural networks, has attracted the attent...
Probability Algorithms Diffusion Neural Networks, Computer
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Oral Cancer Prediction Using a Probability Neural Network (PNN).

Asian Pacific journal of cancer prevention : APJCP Sep 1, 2023
OBJECTIVE: In India, usually, oral cancer is mostly identified at a progressive stage of malignancy. Hence, we are motivated to identify oral cancer in its early stages, which helps to increase the lifetime of the patient, but this early detection is...
Wavelet Analysis Cell Adhesion Molecules Neural Networks, Computer Mouth Neoplasms Algorithms India Probability Nuclear Proteins Humans
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