AIMC Topic: Bayes Theorem

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Continuous real-time prediction of surgical case duration using a modular artificial neural network.

British journal of anaesthesia Jan 26, 2022
BACKGROUND: Real-time prediction of surgical duration can inform perioperative decisions and reduce surgical costs. We developed a machine learning approach that continuously incorporates preoperative and intraoperative information for forecasting su...
Operative Time Bayes Theorem Operating Rooms Humans Neural Networks, Computer Machine Learning
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Developing machine learning models for prediction of mortality in the medical intensive care unit.

Computer methods and programs in biomedicine Jan 26, 2022
BACKGROUND AND OBJECTIVE: Alert of patient deterioration is essential for prompt medical intervention in the Medical Intensive Care Unit (MICU). Logistic Regression (LR) has been used for the development of most conventional severity-of-illness scori...
Hospital Mortality Databases, Factual Humans Models, Statistical Intensive Care Units Machine Learning Bayes Theorem Adult
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A multiple testing framework for diagnostic accuracy studies with co-primary endpoints.

Statistics in medicine Jan 25, 2022
Major advances have been made regarding the utilization of machine learning techniques for disease diagnosis and prognosis based on complex and high-dimensional data. Despite all justified enthusiasm, overoptimistic assessments of predictive performa...
Sensitivity and Specificity Bayes Theorem Humans Machine Learning Algorithms Prognosis
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Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches.

PloS one Jan 21, 2022
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of co...
Comorbidity Datasets as Topic COVID-19 Incidence Contact Tracing SARS-CoV-2 Diabetes Mellitus Hypertension Outpatients Hospitalization Models, Statistical Mexico Humans Obesity Bayes Theorem Machine Learning Survival Analysis
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COVID-19 diagnosis using state-of-the-art CNN architecture features and Bayesian Optimization.

Computers in biology and medicine Jan 20, 2022
The coronavirus outbreak 2019, called COVID-19, which originated in Wuhan, negatively affected the lives of millions of people and many people died from this infection. To prevent the spread of the disease, which is still in effect, various restricti...
COVID-19 Testing Humans Neural Networks, Computer COVID-19 SARS-CoV-2 Deep Learning Bayes Theorem
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Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches.

Computational and mathematical methods in medicine Jan 20, 2022
Epileptic seizures occur due to brain abnormalities that can indirectly affect patient's health. It occurs abruptly without any symptoms and thus increases the mortality rate of humans. Almost 1% of world's population suffers from epileptic seizures....
Signal-To-Noise Ratio Deep Learning Computational Biology Logistic Models Humans Algorithms Neural Networks, Computer Support Vector Machine Epilepsy Databases, Factual Machine Learning Diagnosis, Computer-Assisted Seizures Bayes Theorem Signal Processing, Computer-Assisted Electroencephalography
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Mycobacterium abscessus drug discovery using machine learning.

Tuberculosis (Edinburgh, Scotland) Jan 20, 2022
The prevalence of infections by nontuberculous mycobacteria is increasing, having surpassed tuberculosis in the United States and much of the developed world. Nontuberculous mycobacteria occur naturally in the environment and are a significant proble...
Antitubercular Agents Mycobacterium abscessus Machine Learning Drug Discovery Bayes Theorem Humans
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Machine learning for prediction of euploidy in human embryos: in search of the best-performing model and predictive features.

Fertility and sterility Jan 19, 2022
OBJECTIVE: To assess the best-performing machine learning (ML) model and features to predict euploidy in human embryos.
Cohort Studies Logistic Models Bayes Theorem Humans Machine Learning Retrospective Studies
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Quantitative structure retention relationship (QSRR) modelling for Analytes' retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performance.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Jan 19, 2022
In metabolomics, retention prediction methods have been developed based on the structural and physicochemical characteristics of analytes. Such methods employ regression models, harnessing machine learning algorithms mapping experimentally derived re...
Metabolomics Chromatography, Liquid Molecular Structure Bayes Theorem Linear Models Algorithms Databases, Chemical Organic Chemicals Machine Learning Mass Spectrometry
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Gender Identification and Classification of Flies Using Machine Learning Techniques.

Computational and mathematical methods in medicine Jan 13, 2022
is an important genetic model organism used extensively in medical and biological studies. About 61% of known human genes have a recognizable match with the genetic code of Drosophila flies, and 50% of fly protein sequences have mammalian analogues....
Female Animals Male Machine Learning Bayes Theorem Microscopy Drosophila melanogaster Image Processing, Computer-Assisted Computational Biology Support Vector Machine Sex Determination Analysis
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