AIMC Topic:
Bayes Theorem

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A comparison of machine learning and Bayesian modelling for molecular serotyping.

BMC genomics Aug 11, 2017
BACKGROUND: Streptococcus pneumoniae is a human pathogen that is a major cause of infant mortality. Identifying the pneumococcal serotype is an important step in monitoring the impact of vaccines used to protect against disease. Genomic microarrays p...
Serotyping Streptococcus pneumoniae Oligonucleotide Array Sequence Analysis Machine Learning Models, Statistical Bayes Theorem
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A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support.

BMC bioinformatics Aug 7, 2017
BACKGROUND: Probabilistic assessments of clinical care are essential for quality care. Yet, machine learning, which supports this care process has been limited to categorical results. To maximize its usefulness, it is important to find novel approach...
Humans Machine Learning Adolescent Bayes Theorem Calibration Statistics, Nonparametric Suicide Decision Support Systems, Clinical Support Vector Machine
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The Research of Clinical Decision Support System Based on Three-Layer Knowledge Base Model.

Journal of healthcare engineering Jul 27, 2017
In many clinical decision support systems, a two-layer knowledge base model (disease-symptom) of rule reasoning is used. This model often does not express knowledge very well since it simply infers disease from the presence of certain symptoms. In th...
Knowledge Bases Research Algorithms Decision Support Systems, Clinical Decision Support Techniques Bayes Theorem
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A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Medical & biological engineering & computing Jul 13, 2017
Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities and could become a social problem. An accurate and early diagnosis for depression could become challenging. This paper proposed a machine learning fra...
Models, Theoretical Support Vector Machine Bayes Theorem Electroencephalography Humans Depressive Disorder, Major Male Female Surveys and Questionnaires Middle Aged Reproducibility of Results Logistic Models Young Adult Adult Sensitivity and Specificity
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Effects of additional data on Bayesian clustering.

Neural networks : the official journal of the International Neural Network Society Jul 12, 2017
Hierarchical probabilistic models, such as mixture models, are used for cluster analysis. These models have two types of variables: observable and latent. In cluster analysis, the latent variable is estimated, and it is expected that additional infor...
Cluster Analysis Models, Statistical Bayes Theorem Supervised Machine Learning
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Fuzzy Evidential Network and Its Application as Medical Prognosis and Diagnosis Models.

Journal of biomedical informatics Jul 6, 2017
Uncertainty is one of the important facts of the medical knowledge. Medical prognosis and diagnosis, as the essential parts of medical knowledge, is affected by different aspects of uncertainty, which must be managed. In the previous studies, differe...
Fuzzy Logic Bayes Theorem Databases, Factual Prognosis Humans Algorithms
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A statistical framework for biomedical literature mining.

Statistics in medicine Jul 4, 2017
In systems biology, it is of great interest to identify new genes that were not previously reported to be associated with biological pathways related to various functions and diseases. Identification of these new pathway-modulating genes does not onl...
Humans Systems Biology Bayes Theorem Sphingolipids Algorithms Computer Simulation Reproducibility of Results Gene Ontology Genes DNA Fingerprinting Saccharomyces cerevisiae Data Mining Monte Carlo Method Markov Chains Biometry
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A comparison of rule-based and machine learning approaches for classifying patient portal messages.

International journal of medical informatics Jun 23, 2017
OBJECTIVE: Secure messaging through patient portals is an increasingly popular way that consumers interact with healthcare providers. The increasing burden of secure messaging can affect clinic staffing and workflows. Manual management of portal mess...
Health Services Needs and Demand Patient Portals Humans Natural Language Processing Machine Learning Health Personnel Bayes Theorem Electronic Health Records Communication
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ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

Molecular pharmaceutics Jun 21, 2017
As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even death. Meanwhile, it is a common and traditional issue in occupational and environmental protection. Pharmaceutical and chemical industries have a strong...
Algorithms Reproducibility of Results Animals Mice Models, Theoretical Support Vector Machine Bayes Theorem Humans Quantitative Structure-Activity Relationship Machine Learning
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Bone Fusion in Normal and Pathological Development is Constrained by the Network Architecture of the Human Skull.

Scientific reports Jun 13, 2017
Craniosynostosis, the premature fusion of cranial bones, affects the correct development of the skull producing morphological malformations in newborns. To assess the susceptibility of each craniofacial articulation to close prematurely, we used a ne...
Bone Development Bone and Bones Skull Humans Craniosynostoses Neural Networks, Computer Bayes Theorem Spinal Fusion Algorithms Infant, Newborn
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