AIMC Topic: Machine Learning

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V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature.

Journal of bioinformatics and computational biology Jan 9, 2017
Piwi-interacting RNAs (piRNAs) were recently discovered as endogenous small noncoding RNAs. Some recent research suggests that piRNAs may play an important role in cancer. So the precise identification of human piRNAs is a significant work. In this p...
Humans RNA, Small Interfering Machine Learning Nucleotide Motifs Algorithms Databases, Genetic
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In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.

Journal of chemical information and modeling Jan 9, 2017
There are little available toxicity data on the vast majority of chemicals in commerce. High-throughput screening (HTS) studies, such as those being carried out by the U.S. Environmental Protection Agency (EPA) ToxCast program in partnership with the...
Machine Learning Computer Simulation Water Quantitative Structure-Activity Relationship Transition Temperature Informatics Vapor Pressure Environmental Pollutants Solubility Chemical Phenomena
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Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data Sets.

PloS one Jan 9, 2017
The ecological effects of accidental or malicious radioactive contamination are insufficiently understood because of the hazards and difficulties associated with conducting studies in radioactively-polluted areas. Data sets from severely contaminated...
Soil Pollutants, Radioactive Ukraine Radiation Monitoring Radioactive Pollutants Machine Learning Algorithms Soil Microbiology Fungi Bacteria Models, Theoretical
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Construction of longitudinal prediction targets using semisupervised learning.

Statistical methods in medical research Jan 8, 2017
In establishing prognostic models, often aided by machine learning methods, much effort is concentrated in identifying good predictors. However, the same level of rigor is often absent in improving the outcome side of the models. In this study, we fo...
Precision Medicine Prognosis Bipolar Disorder Models, Statistical Outcome Assessment, Health Care Machine Learning Algorithms
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A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.

Computer methods and programs in biomedicine Jan 6, 2017
BACKGROUND AND OBJECTIVES: Highly accurate classification of biomedical images is an essential task in the clinical diagnosis of numerous medical diseases identified from those images. Traditional image classification methods combined with hand-craft...
Diagnostic Imaging Neural Networks, Computer Machine Learning Models, Theoretical
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Biologically Relevant Heterogeneity: Metrics and Practical Insights.

SLAS discovery : advancing life sciences R & D Jan 6, 2017
Heterogeneity is a fundamental property of biological systems at all scales that must be addressed in a wide range of biomedical applications, including basic biomedical research, drug discovery, diagnostics, and the implementation of precision medic...
Genetic Heterogeneity Histocytochemistry Decision Support Techniques Decision Making Precision Medicine Imaging, Three-Dimensional Humans Neoplasms Drug Discovery Flow Cytometry Machine Learning Systems Biology Single-Cell Analysis Reference Values
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An expert system for selecting wart treatment method.

Computers in biology and medicine Jan 6, 2017
As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Cons...
Adult Sensitivity and Specificity Male Decision Support Systems, Clinical Humans Expert Systems Warts Female Machine Learning Immunotherapy Therapy, Computer-Assisted Reproducibility of Results Treatment Outcome Algorithms Middle Aged Cryotherapy Young Adult Prognosis Adolescent Patient Selection Clinical Decision-Making Outcome Assessment, Health Care
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Enumerateblood - an R package to estimate the cellular composition of whole blood from Affymetrix Gene ST gene expression profiles.

BMC genomics Jan 6, 2017
BACKGROUND: Measuring genome-wide changes in transcript abundance in circulating peripheral whole blood is a useful way to study disease pathobiology and may help elucidate the molecular mechanisms of disease, or discovery of useful disease biomarker...
Blood Cells Gene Expression Profiling Genomics Models, Statistical Humans Machine Learning
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A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.

PloS one Jan 6, 2017
BACKGROUND: The benefits of cardiac surgery are sometimes difficult to predict and the decision to operate on a given individual is complex. Machine Learning and Decision Curve Analysis (DCA) are recent methods developed to create and evaluate predic...
Humans Machine Learning Aged Male Middle Aged Comorbidity Decision Support Techniques Female Reproducibility of Results Models, Statistical Hospital Mortality Cardiac Surgical Procedures Cardiopulmonary Bypass ROC Curve Logistic Models
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SVM and SVM Ensembles in Breast Cancer Prediction.

PloS one Jan 6, 2017
Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among...
Humans Machine Learning Algorithms Support Vector Machine Breast Neoplasms Models, Biological ROC Curve Datasets as Topic Female Reproducibility of Results
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