AIMC Topic: Bayes Theorem

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Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms.

Scientific reports Apr 25, 2019
In this paper, we evaluated the power of microbiome measures taken at three time points over the growth test period (weaning, 15 and 22 weeks) to foretell growth and carcass traits in 1039 individuals of a line of crossbred pigs. We measured predicti...
Female Animals Male Swine Breeding Bayes Theorem Meat Machine Learning Algorithms
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Exploiting machine learning for end-to-end drug discovery and development.

Nature materials Apr 18, 2019
A variety of machine learning methods such as naive Bayesian, support vector machines and more recently deep neural networks are demonstrating their utility for drug discovery and development. These leverage the generally bigger datasets created from...
Humans Neural Networks, Computer Drug Repositioning Bayes Theorem Nanomedicine Technology, Pharmaceutical Drug Discovery Computational Biology Drug Development Support Vector Machine Machine Learning Algorithms Computer Simulation Drug Design
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Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection Tasks by Use of Supervised Learning Methods.

IEEE transactions on medical imaging Apr 15, 2019
It is widely accepted that the optimization of medical imaging system performance should be guided by task-based measures of image quality (IQ). Task-based measures of IQ quantify the ability of an observer to perform a specific task, such as detecti...
Supervised Machine Learning Diagnostic Imaging Bayes Theorem Signal Processing, Computer-Assisted Databases, Factual Image Processing, Computer-Assisted
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Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data.

Neural computation Apr 12, 2019
Bayesian networks have been widely used in many scientific fields for describing the conditional independence relationships for a large set of random variables. This letter proposes a novel algorithm, the so-called -learning algorithm, for learning m...
Algorithms Bayes Theorem Humans Neural Networks, Computer
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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Acetaminophen Liver Failure, Acute Area Under Curve Bayes Theorem Registries Linear Models Machine Learning Databases, Factual Prognosis Retrospective Studies Middle Aged Female ROC Curve Humans Severity of Illness Index Adult Sensitivity and Specificity Treatment Outcome Male Predictive Value of Tests
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Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 11, 2019
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.
Neoplasm Grading Carcinoma, Ovarian Epithelial Preoperative Care Support Vector Machine Ovarian Neoplasms Bayes Theorem Neoplasm Staging Aged Aged, 80 and over Young Adult Adult Survival Rate Biomarkers, Tumor Middle Aged ROC Curve Machine Learning Algorithms Prognosis Female Humans Neural Networks, Computer Artificial Intelligence
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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Normal Distribution Oncogenes Tissue Array Analysis Models, Statistical Colon Regression Analysis Bayes Theorem Humans Gene Expression Profiling Decision Trees Discriminant Analysis Neural Networks, Computer Logistic Models Area Under Curve Colonic Neoplasms Machine Learning Support Vector Machine Risk Sensitivity and Specificity
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Main factors influencing recovery in MERS Co-V patients using machine learning.

Journal of infection and public health Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Humans Young Adult Adult Male Middle Aged Infant Machine Learning Health Personnel Female Aged Coronavirus Infections Severity of Illness Index Child Multivariate Analysis Saudi Arabia Support Vector Machine Middle East Respiratory Syndrome Coronavirus Adolescent Regression Analysis Survival Bayes Theorem Child, Preschool
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Active learning using deep Bayesian networks for surgical workflow analysis.

International journal of computer assisted radiology and surgery Apr 9, 2019
PURPOSE: For many applications in the field of computer-assisted surgery, such as providing the position of a tumor, specifying the most probable tool required next by the surgeon or determining the remaining duration of surgery, methods for surgical...
Workflow Surgery, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Bayes Theorem Humans
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Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. To ensure such applications, an explicit reward function encoding domain knowledge should be specified...
Humans Machine Learning Bayes Theorem Critical Care Markov Chains Retrospective Studies Reinforcement, Psychology Clinical Decision-Making Clinical Protocols Respiration, Artificial Hypnotics and Sedatives
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