AIMC Topic:
Bayes Theorem

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Network or regression-based methods for disease discrimination: a comparison study.

BMC medical research methodology Aug 18, 2016
BACKGROUND: In stark contrast to network-centric view for complex disease, regression-based methods are preferred in disease prediction, especially for epidemiologists and clinical professionals. It remains a controversy whether the network-based met...
Outcome Assessment, Health Care Diagnosis, Differential Bayes Theorem Neural Networks, Computer Computer Simulation Reproducibility of Results Sensitivity and Specificity Logistic Models Regression Analysis Humans
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Mycofier: a new machine learning-based classifier for fungal ITS sequences.

BMC research notes Aug 11, 2016
BACKGROUND: The taxonomic and phylogenetic classification based on sequence analysis of the ITS1 genomic region has become a crucial component of fungal ecology and diversity studies. Nowadays, there is no accurate alignment-free classification tool ...
Machine Learning Software Fungi Base Sequence Models, Genetic DNA, Ribosomal Spacer Databases, Genetic Bayes Theorem
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Approximate Bayesian MLP regularization for regression in the presence of noise.

Neural networks : the official journal of the International Neural Network Society Aug 10, 2016
We present a novel regularization method for a multilayer perceptron (MLP) that learns a regression function in the presence of noise regardless of how smooth the function is. Unlike general MLP regularization methods assuming that a regression funct...
Models, Theoretical Neural Networks, Computer Machine Learning Bayes Theorem
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An approach for deciphering patient-specific variations with application to breast cancer molecular expression profiles.

Journal of biomedical informatics Jul 28, 2016
Several studies have successfully used molecular expression profiling in conjunction with classification techniques for discerning distinct disease groups. However, a majority of these studies do not provide sufficient insights into potential patient...
Bayes Theorem Breast Neoplasms Gene Expression Profiling Humans Support Vector Machine Prognosis Female
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Dynamic Bayesian Network for Accurate Detection of Peptides from Tandem Mass Spectra.

Journal of proteome research Jul 22, 2016
A central problem in mass spectrometry analysis involves identifying, for each observed tandem mass spectrum, the corresponding generating peptide. We present a dynamic Bayesian network (DBN) toolkit that addresses this problem by using a machine lea...
Bayes Theorem Tandem Mass Spectrometry Peptides Proteomics Databases, Protein Machine Learning Software
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ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.

Molecular pharmaceutics Jul 18, 2016
Blockade of human ether-à-go-go related gene (hERG) channel by compounds may lead to drug-induced QT prolongation, arrhythmia, and Torsades de Pointes (TdP), and therefore reliable prediction of hERG liability in the early stages of drug design is qu...
Machine Learning Drug Discovery Bayes Theorem Quantitative Structure-Activity Relationship Potassium Channel Blockers Support Vector Machine Cluster Analysis Models, Molecular
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Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images.

Computational and mathematical methods in medicine Jul 14, 2016
The focus of this research is on automated identification of the quality of human induced pluripotent stem cell (iPSC) colony images. iPS cell technology is a contemporary method by which the patient's cells are reprogrammed back to stem cells and ar...
Fibroblasts Algorithms False Positive Reactions Regenerative Medicine Models, Statistical Humans Cell Culture Techniques Reproducibility of Results Bayes Theorem Pattern Recognition, Automated Induced Pluripotent Stem Cells Machine Learning Least-Squares Analysis Support Vector Machine Quality Control
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Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures.

Journal of medical systems Jul 11, 2016
Obesity is a chronic disease with an increasing impact on the world's population. In this work, we present a method of identifying obesity automatically using text mining techniques and information related to body weight measures and obesity comorbid...
Overweight Support Vector Machine Obesity Natural Language Processing Bayes Theorem Artificial Intelligence Humans Data Mining Electronic Health Records Comorbidity
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Using machine learning methods for predicting inhospital mortality in patients undergoing open repair of abdominal aortic aneurysm.

Journal of biomedical informatics Jul 6, 2016
An abdominal aortic aneurysm is an abnormal dilatation of the aortic vessel at abdominal level. This disease presents high rate of mortality and complications causing a decrease in the quality of life and increasing the cost of treatment. To estimate...
Treatment Outcome Aortic Aneurysm, Abdominal Bayes Theorem Quality of Life Hospital Mortality Humans Machine Learning Risk Factors Risk Assessment
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Using automatically extracted information from mammography reports for decision-support.

Journal of biomedical informatics Jul 4, 2016
OBJECTIVE: To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision-support about breast cancer diagnosis. The ultimate g...
Information Storage and Retrieval Natural Language Processing Bayes Theorem Humans Female Breast Neoplasms Decision Support Systems, Clinical Mammography
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