AIMC Topic: Bayes Theorem

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Distribution-free Bayesian regularized learning framework for semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2024
In machine learning it is often necessary to assume or know the distribution of the data, however it is difficult to do so in practical applications. Aiming to this problem, this work, we propose a novel distribution-free Bayesian regularized learnin...
Bayes Theorem Supervised Machine Learning Algorithms Reproducibility of Results Machine Learning
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A machine learning approach to predict daptomycin exposure from two concentrations based on Monte Carlo simulations.

Antimicrobial agents and chemotherapy Mar 19, 2024
Daptomycin is a concentration-dependent lipopeptide antibiotic for which exposure/effect relationships have been shown. Machine learning (ML) algorithms, developed to predict the individual exposure to drugs, have shown very good performances in comp...
Daptomycin Bayes Theorem Monte Carlo Method Aged Adult Middle Aged Area Under Curve Male Anti-Bacterial Agents Female Machine Learning Algorithms Humans
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Comparison of Machine Learning Algorithms for Heartbeat Detection Based on Accelerometric Signals Produced by a Smart Bed.

Sensors (Basel, Switzerland) Mar 15, 2024
This work aims to compare the performance of Machine Learning (ML) and Deep Learning (DL) algorithms in detecting users' heartbeats on a smart bed. Targeting non-intrusive, continuous heart monitoring during sleep time, the smart bed is equipped with...
Humans Artificial Intelligence Algorithms Support Vector Machine Bayes Theorem Machine Learning Heart Rate
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Deep learning in public health: Comparative predictive models for COVID-19 case forecasting.

PloS one Mar 14, 2024
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates (UAE) and Malaysia, emphasizing the importance of developing accurate and reliable forecasting mechanisms to guide public health responses and policies. In this study...
Retrospective Studies COVID-19 Bayes Theorem Public Health Deep Learning Forecasting Humans Pandemics
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Bayesian inference is facilitated by modular neural networks with different time scales.

PLoS computational biology Mar 13, 2024
Various animals, including humans, have been suggested to perform Bayesian inferences to handle noisy, time-varying external information. In performing Bayesian inference by the brain, the prior distribution must be acquired and represented by sampli...
Cognition Bayes Theorem Neurons Brain Animals Humans Neural Networks, Computer
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Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods.

Computer methods and programs in biomedicine Mar 12, 2024
BACKGROUND: Estimating the risk of a difficult tracheal intubation should help clinicians in better anaesthesia planning, to maximize patient safety. Routine bedside screenings suffer from low sensitivity.
Humans Prospective Studies Bayes Theorem Intubation, Intratracheal Neural Networks, Computer Machine Learning
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A comparative evaluation of low-density lipoprotein cholesterol estimation: Machine learning algorithms versus various equations.

Clinica chimica acta; international journal of clinical chemistry Mar 9, 2024
BACKGROUND: Given the critical importance of Low-density lipoprotein cholesterol (LDL-C) levels in determining cardiovascular risk, it is essential to measure LDL-C accurately. Since the Friedewald formula generates incorrect predictions in many circ...
Triglycerides Humans Bayes Theorem Machine Learning Cholesterol, LDL
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A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.

Sensors (Basel, Switzerland) Mar 7, 2024
Regular blood pressure (BP) monitoring in clinical and ambulatory settings plays a crucial role in the prevention, diagnosis, treatment, and management of cardiovascular diseases. Recently, the widespread adoption of ambulatory BP measurement devices...
Hypertension Blood Pressure Determination Bayes Theorem Humans Blood Pressure Artificial Intelligence
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High cell density cultivation of Corynebacterium glutamicum by deep learning-assisted medium design and the subsequent feeding strategy.

Journal of bioscience and bioengineering Mar 2, 2024
To improve the cell productivity of Corynebacterium glutamicum, its initial specific growth rate was improved by medium improvement using deep neural network (DNN)-assisted design with Bayesian optimization (BO) and a genetic algorithm (GA). To obtai...
Deep Learning Magnesium Glucose Corynebacterium glutamicum Bayes Theorem Cell Count
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Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2024
UNLABELLED: Background &Objective: Carcinoma of the breast is one of the major issues causing death in women, especially in developing countries. Timely prediction, detection, diagnosis, and efficient therapies have become critical to reducing death ...
Support Vector Machine Bayes Theorem Breast Neoplasms Deep Learning Machine Learning Humans Algorithms Artificial Intelligence Female
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