AIMC Topic: Models, Statistical

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Learning statistical models of phenotypes using noisy labeled training data.

Journal of the American Medical Informatics Association : JAMIA May 12, 2016
OBJECTIVE: Traditionally, patient groups with a phenotype are selected through rule-based definitions whose creation and validation are time-consuming. Machine learning approaches to electronic phenotyping are limited by the paucity of labeled traini...
Humans Machine Learning Algorithms Models, Statistical Myocardial Infarction Vocabulary, Controlled Medical Informatics Computing Phenotype Electronic Health Records Diabetes Mellitus, Type 2 Logistic Models
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Chemical entity recognition in patents by combining dictionary-based and statistical approaches.

Database : the journal of biological databases and curation May 2, 2016
We describe the development of a chemical entity recognition system and its application in the CHEMDNER-patent track of BioCreative 2015. This community challenge includes a Chemical Entity Mention in Patents (CEMP) recognition task and a Chemical Pa...
Data Mining Machine Learning Software Databases, Chemical Models, Statistical Patents as Topic
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A hierarchical model for integrating unsupervised generative embedding and empirical Bayes.

Journal of neuroscience methods Apr 30, 2016
BACKGROUND: Generative models of neuroimaging data, such as dynamic causal models (DCMs), are commonly used for inferring effective connectivity from individual subject data. Recently introduced "generative embedding" approaches have used DCM-based c...
Brain Computer Simulation Female Reproducibility of Results Humans Software Cluster Analysis Models, Neurological Models, Statistical Unsupervised Machine Learning Adult Male Magnetic Resonance Imaging Neuroimaging Monte Carlo Method Bayes Theorem Schizophrenia Markov Chains
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Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI.

Medical & biological engineering & computing Apr 21, 2016
Extreme learning machine (ELM) is an effective machine learning technique with simple theory and fast implementation, which has gained increasing interest from various research fields recently. A new method that combines ELM with probabilistic model ...
Algorithms Models, Statistical Electroencephalography Humans Machine Learning Databases as Topic Brain-Computer Interfaces
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Flexible variable selection for recovering sparsity in nonadditive nonparametric models.

Biometrics Apr 14, 2016
Variable selection for recovering sparsity in nonadditive and nonparametric models with high-dimensional variables has been challenging. This problem becomes even more difficult due to complications in modeling unknown interaction terms among high-di...
Statistics, Nonparametric Models, Statistical Regression Analysis Biometry Artificial Intelligence Algorithms
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The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.

Computational and mathematical methods in medicine Apr 3, 2016
Using the theory of machine learning to assist the virtual screening (VS) has been an effective plan. However, the quality of the training set may reduce because of mixing with the wrong docking poses and it will affect the screening efficiencies. To...
Computational Biology Software Hydrogen Proteins Humans Algorithms Support Vector Machine Databases, Protein Cathepsin K Reproducibility of Results Models, Statistical Area Under Curve Binding Sites Crystallization Drug Design Combinatorial Chemistry Techniques Ligands ROC Curve Protein Conformation Chemistry, Pharmaceutical Imaging, Three-Dimensional Protein Binding
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Prediction and detection models for acute kidney injury in hospitalized older adults.

BMC medical informatics and decision making Mar 29, 2016
BACKGROUND: Acute Kidney Injury (AKI) occurs in at least 5 % of hospitalized patients and can result in 40-70 % morbidity and mortality. Even following recovery, many subjects may experience progressive deterioration of renal function. The heterogene...
Humans Middle Aged Hospitalization Machine Learning Models, Theoretical Prognosis Aged Models, Statistical Aged, 80 and over Acute Kidney Injury Male Female
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Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study.

Epidemiology and health Mar 24, 2016
OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropathy, one of the most common complications of diabetes mellitus, is a serious condition that can lead to amputation. This study used a multicategory su...
Surveys and Questionnaires Logistic Models Support Vector Machine Models, Statistical Diabetic Neuropathies Adult Cross-Sectional Studies Middle Aged Prevalence Humans Algorithms Aged
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Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans.

International journal of environmental research and public health Mar 23, 2016
BACKGROUND: We previously proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and the nonlinear autoregressive neural network (NARNN) models in forecasting schistosomiasis. Our purpose in the current study was ...
Nonlinear Dynamics Schistosomiasis Models, Theoretical Models, Statistical Feasibility Studies Humans Neural Networks, Computer Forecasting Reproducibility of Results Prevalence
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Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients.

PLoS neglected tropical diseases Mar 18, 2016
BACKGROUND: Assessment of the response to the 2014-15 Ebola outbreak indicates the need for innovations in data collection, sharing, and use to improve case detection and treatment. Here we introduce a Machine Learning pipeline for Ebola Virus Diseas...
Sierra Leone Software Risk Assessment Disease Outbreaks User-Computer Interface Treatment Outcome Models, Statistical Hemorrhagic Fever, Ebola Humans Machine Learning
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