AIMC Topic: Computer Simulation

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Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.

Briefings in bioinformatics Nov 27, 2019
Metabolomics involves studies of a great number of metabolites, which are small molecules present in biological systems. They play a lot of important functions such as energy transport, signaling, building block of cells and inhibition/catalysis. Und...
Mass Spectrometry Metabolomics Magnetic Resonance Spectroscopy Machine Learning Computer Simulation Computational Biology
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AI Copernicus 'discovers' that Earth orbits the Sun.

Nature Nov 1, 2019
Planets Algorithms Neural Networks, Computer Machine Learning Computer Simulation Physics
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Cost-aware active learning for named entity recognition in clinical text.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most informative examples for annotation. Most approaches tacitly (and unrealistically) assume that the cost for annotating each sample is identical. This ...
Natural Language Processing Models, Economic Information Storage and Retrieval Humans Computer Simulation Algorithms Electronic Health Records Big Data
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Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.

Clinical and translational gastroenterology Oct 1, 2019
INTRODUCTION: Adverse histopathological status (AHS) decreases outcomes of gastric cancer (GC). With the lack of a single factor with great reliability to preoperatively predict AHS, we developed a computational approach by integrating large-scale im...
Neoplasm Recurrence, Local Gastrectomy Disease-Free Survival Preoperative Period Female Reproducibility of Results Stomach Neoplasms Male Middle Aged Prevalence Prognosis Retrospective Studies Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Machine Learning Kaplan-Meier Estimate Follow-Up Studies Computer Simulation Stomach Contrast Media Neoplasm Invasiveness Neoplasm Staging
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Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: We aimed to investigate bias in applying machine learning to predict real-world individual treatment effects.
Precision Medicine Prognosis Cohort Studies Humans Machine Learning Computer Simulation Treatment Outcome Outcome and Process Assessment, Health Care
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Artificial Intelligent Model With Neural Network Machine Learning for the Diagnosis of Orthognathic Surgery.

The Journal of craniofacial surgery Oct 1, 2019
Diagnosis and treatment planning are the most important steps in the orthognathic surgery for the successful treatment. The purpose of this study was to develop a new artificial intelligent model for surgery/non-surgery decision and extraction determ...
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Orthognathic Surgery Computer Simulation Patient Care Planning
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Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases.

Briefings in bioinformatics Sep 27, 2019
The identification of interactions between drugs/compounds and their targets is crucial for the development of new drugs. In vitro screening experiments (i.e. bioassays) are frequently used for this purpose; however, experimental approaches are insuf...
Computer Simulation Drug Discovery Deep Learning Database Management Systems
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A review of computational models of basic rule learning: The neural-symbolic debate and beyond.

Psychonomic bulletin & review Aug 1, 2019
We present a critical review of computational models of generalization of simple grammar-like rules, such as ABA and ABB. In particular, we focus on models attempting to account for the empirical results of Marcus et al. (Science, 283(5398), 77-80 19...
Generalization, Psychological Language Development Infant Models, Psychological Humans Symbolism Computer Simulation Neural Networks, Computer Learning
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Multi-omics integration-a comparison of unsupervised clustering methodologies.

Briefings in bioinformatics Jul 19, 2019
With the recent developments in the field of multi-omics integration, the interest in factors such as data preprocessing, choice of the integration method and the number of different omics considered had increased. In this work, the impact of these f...
Cluster Analysis Metabolomics Unsupervised Machine Learning Computational Biology Algorithms Systems Integration Animals Humans Systems Biology Databases, Factual Mice Proteomics Factor Analysis, Statistical Computer Simulation Genomics Models, Biological Multivariate Analysis
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Estimation of Sparse VAR Models with Artificial Neural Networks for the Analysis of Biosignals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Vector autoregressive models (VAR models) are often used to model and to analyze multivariate time series, especially to provide short-term forecasts. A common method of estimating coefficients of these VAR models is solving the Yule- Walker equation...
Computer Simulation Neural Networks, Computer Biosensing Techniques Algorithms
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