AIMC Topic: Bayes Theorem

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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 Brain Humans Animals Neural Networks, Computer Neurons
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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...
Bayes Theorem Blood Pressure Determination Blood Pressure Artificial Intelligence Hypertension Humans
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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 Algorithms Female Artificial Intelligence Machine Learning Humans
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Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks.

Journal of chemical information and modeling Feb 29, 2024
Molecular design depends heavily on optical properties for applications such as solar cells and polymer-based batteries. Accurate prediction of these properties is essential, and multiple predictive methods exist, from to data-driven techniques. Alt...
Density Functional Theory Neural Networks, Computer Spectrum Analysis Machine Learning Bayes Theorem
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Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.

Oral radiology Feb 23, 2024
OBJECTIVES: We aim to develop a deep learning model based on a convolutional neural network (CNN) combined with a classification algorithm (CA) to assist dentists in quickly and accurately diagnosing the stage of periodontitis.
Male Middle Aged Bayes Theorem Radiography, Dental Deep Learning Neural Networks, Computer Female Humans Adult Algorithms Periodontitis
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Application of the performance of machine learning techniques as support in the prediction of school dropout.

Scientific reports Feb 17, 2024
This article presents a study, intending to design a model with 90% reliability, which helps in the prediction of school dropouts in higher and secondary education institutions, implementing machine learning techniques. The collection of information ...
Bayes Theorem Student Dropouts Reproducibility of Results Support Vector Machine Neural Networks, Computer Machine Learning Humans
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Investigation on explainable machine learning models to predict chronic kidney diseases.

Scientific reports Feb 14, 2024
Chronic kidney disease (CKD) is a major worldwide health problem, affecting a large proportion of the world's population and leading to higher morbidity and death rates. The early stages of CKD sometimes present without visible symptoms, causing pati...
Artificial Intelligence Machine Learning Humans Glycated Hemoglobin Bayes Theorem Calcium Compounds Oxides Quality of Life Renal Insufficiency, Chronic
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