AI Medical Compendium Topic:
Bayes Theorem

Clear Filters Showing 761 to 770 of 1715 articles

Human Activity and Motion Pattern Recognition within Indoor Environment Using Convolutional Neural Networks Clustering and Naive Bayes Classification Algorithms.

Sensors (Basel, Switzerland) Jan 28, 2022
Human Activity Recognition (HAR) systems are designed to read sensor data and analyse it to classify any detected movement and respond accordingly. However, there is a need for more responsive and near real-time systems to distinguish between false a...
Bayes Theorem Humans Human Activities Neural Networks, Computer Algorithms Cluster Analysis
View on PubMed DOI

Age Classification in Forensic Medicine Using Machine Learning Techniques.

Sovremennye tekhnologii v meditsine Jan 28, 2022
UNLABELLED: was to assess the capabilities of age determination (age group) at death using classification techniques by histomorphometric characteristics of osseous and cartilaginous tissue aging.
Forensic Medicine Algorithms Humans Male Machine Learning Bayes Theorem
View on PubMed DOI

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...
Humans Neural Networks, Computer Machine Learning Operative Time Bayes Theorem Operating Rooms
View on PubMed DOI

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...
Humans Models, Statistical Intensive Care Units Bayes Theorem Machine Learning Adult Databases, Factual Hospital Mortality
View on PubMed DOI

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...
Humans Machine Learning Bayes Theorem Algorithms Prognosis Sensitivity and Specificity
View on PubMed DOI

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...
Humans Machine Learning Hypertension Diabetes Mellitus Datasets as Topic Contact Tracing Outpatients Mexico Obesity Models, Statistical Hospitalization Comorbidity Incidence Bayes Theorem Survival Analysis COVID-19 SARS-CoV-2
View on PubMed DOI

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...
Bayes Theorem COVID-19 Testing COVID-19 SARS-CoV-2 Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

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....
Humans Deep Learning Computational Biology Algorithms Seizures Electroencephalography Neural Networks, Computer Logistic Models Signal Processing, Computer-Assisted Databases, Factual Epilepsy Machine Learning Support Vector Machine Signal-To-Noise Ratio Diagnosis, Computer-Assisted Bayes Theorem
View on PubMed DOI

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...
Mycobacterium abscessus Bayes Theorem Antitubercular Agents Humans Machine Learning Drug Discovery
View on PubMed DOI

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
View on PubMed DOI
Popular Topics
Recent Journals