AIMC Topic: Bayes Theorem

Clear Filters Showing 791 to 800 of 1826 articles

Accurate Physical Property Predictions via Deep Learning.

Molecules (Basel, Switzerland) Mar 3, 2022
Neural networks and deep learning have been successfully applied to tackle problems in drug discovery with increasing accuracy over time. There are still many challenges and opportunities to improve molecular property predictions with satisfactory ac...
Neural Networks, Computer Drug Discovery Solubility Deep Learning Bayes Theorem
View on PubMed DOI

Developing stacking ensemble models for multivariate contamination detection in water distribution systems.

The Science of the total environment Mar 2, 2022
This study presents a new stacking ensemble model for contamination event detection using multiple water quality parameters. The stacking model consists of a number of machine learning base predictors and a meta-predictor, and it is trained using cro...
Probability Neural Networks, Computer Water Quality Machine Learning Bayes Theorem
View on PubMed DOI

Uncertainty-aware skin cancer detection: The element of doubt.

Computers in biology and medicine Mar 2, 2022
Artificial intelligence (AI)-based medical diagnosis has received huge attention due to its potential to improve and accelerate the decision-making process at the patient level in a range of healthcare settings. Despite the recent signs of progress i...
Uncertainty Neural Networks, Computer Bayes Theorem Artificial Intelligence Monte Carlo Method Algorithms Skin Neoplasms Humans
View on PubMed DOI

Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning.

Journal of healthcare engineering Mar 2, 2022
Medical costs are one of the most common recurring expenses in a person's life. Based on different research studies, BMI, ageing, smoking, and other factors are all related to greater personal medical care costs. The estimates of the expenditures of ...
Bayes Theorem Health Care Costs Hospitalization Humans Obesity Machine Learning
View on PubMed DOI

Comparative analysis of explainable machine learning prediction models for hospital mortality.

BMC medical research methodology Feb 27, 2022
BACKGROUND: Machine learning (ML) holds the promise of becoming an essential tool for utilising the increasing amount of clinical data available for analysis and clinical decision support. However, the lack of trust in the models has limited the acce...
Bayes Theorem Hospital Mortality Logistic Models Machine Learning Humans Algorithms
View on PubMed DOI

Identification and Prediction of Chronic Diseases Using Machine Learning Approach.

Journal of healthcare engineering Feb 25, 2022
Nowadays, humans face various diseases due to the current environmental condition and their living habits. The identification and prediction of such diseases at their earlier stages are much important, so as to prevent the extremity of it. It is diff...
Support Vector Machine Chronic Disease Humans Machine Learning Neural Networks, Computer Bayes Theorem Algorithms
View on PubMed DOI

Machine learning for predicting chronic diseases: a systematic review.

Public health Feb 24, 2022
OBJECTIVES: We aimed to review the literature regarding the use of machine learning to predict chronic diseases.
Bayes Theorem Machine Learning Prognosis Humans ROC Curve Chronic Disease
View on PubMed DOI

Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis.

Computational intelligence and neuroscience Feb 24, 2022
Heart failure is the most common cause of death in both males and females around the world. Cardiovascular diseases (CVDs), in particular, are the main cause of death worldwide, accounting for 30% of all fatalities in the United States and 45% in Eur...
Bayes Theorem Artificial Intelligence Humans Cardiovascular Diseases Machine Learning Female Network Meta-Analysis Male
View on PubMed DOI

A Bayesian mixed effects support vector machine for learning and predicting daily substance use disorder patterns.

The American journal of drug and alcohol abuse Feb 23, 2022
Substance use disorder (SUD) is a heterogeneous disorder. Adapting machine learning algorithms to allow for the parsing of intrapersonal and interpersonal heterogeneity in meaningful ways may accelerate the discovery and implementation of clinically...
Male Support Vector Machine Humans Female Substance-Related Disorders Bayes Theorem
View on PubMed DOI

Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.

Journal of digital imaging Feb 23, 2022
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, and it is characterized by the production of immature malignant cells in the bone marrow. Computer vision techniques provide automated analysis that can help specialist...
Child Image Processing, Computer-Assisted Bayes Theorem Precursor Cell Lymphoblastic Leukemia-Lymphoma Neural Networks, Computer Disease Progression Humans
View on PubMed DOI
Popular Topics
Recent Journals